Autonomy, AI & Robotics
$7.5M MURI to rethink game theory
Prof. Subramanian is the lead PI on a collaborative project to improve the accuracy of modern game theory predictions and produce better outcomes.OptoGPT for solar cells, smart windows, and more
Taking advantage of the transformer neural networks that power large language models, engineers can get recipes for materials with the optical properties they need.News Feed
Andrew Owens receives NSF CAREER Award for research to improve machine perception systems
Prof. Owens’ research will help fully autonomous systems interact with their environments without human supervision.Vijay Subramanian awarded $7.5M MURI to rethink game theory in dynamic environments
Prof. Subramanian is the lead PI on a collaborative project to improve the accuracy of modern game theory predictions and produce better outcomes.Aline Eid receives MTRAC Award to commercialize radar vision for autonomous indoor navigation
Prof. Eid will partner with the industry startup Atheraxon to market technology for automated guided vehicles in warehouse environments and beyond.OptoGPT for improving solar cells, smart windows, telescopes and more
Taking advantage of the transformer neural networks that power large language models, engineers can get recipes for materials with the optical properties they need.Report issued on state of intelligent vehicle dependability and security
Safe operation of fully autonomous vehicles on public roads is not anticipated in the near future.Using natural language processing to improve everyday life
Prof. Joyce Chai's work in natural language processing is bolstered by high performance computing systems operated by the Advanced Research Computing Group (ARC) in U-M's Information and Technology Services.Understanding attention in large language models
How do chatbots based on the transformer architecture decide what to pay attention to in a conversation? They’ve made their own machine learning algorithms to tell them.A coaching bot for students learning coding, computational Machine Learning, and AI
Prof. Raj Rao Nadakuditi is developing a generative AI coaching bot that provides feedback to strengthen self-regulated learning skills.LG AI Research and CSE build on successful partnership
A delegation from LG AI Research visited campus to review LG-funded projects in process and discuss future collaborations.Michigan and ECE advancing computer vision at CVPR 2023
Look at some of the ways ECE and other University of Michigan researchers are using computer vision for real-world applications.Olivia Lee awarded NSF Graduate Research Fellowship for brain-machine interfaces that could improve control of robotic prostheses
Lee designs implantable and wearable electronics to help restore movement to those who have lost limbs or have been paralyzed.Focused ambitions
While hunger for an artificial intelligence that can think like a human remains unsated, AI continues to appear in our lives in smaller ways.U-M CSE research team advances to top five in Amazon Alexa Prize Simbot Challenge
The challenge is a means of pushing forward with their research into development of next-generation embodied AI agents.Diversity and inclusiveness are an essential part of the pursuit of AI at CSE
The Michigan AI Lab is focused on building a community of diverse viewpoints in an effort to reduce the bias we see in the exploding world of artificial intelligence.“It’s a supportive and collaborative environment” — making connections as a PhD student in and outside the classroom
U-M CSE PhD candidate Sarah Jabbour discusses how collaboration is centered in her experience as a graduate student.U-M, Schmidt Futures to partner on new AI research program
$10M will fund training for 60 postdoctoral fellows as part of international cohort.Decisive differences in healthcare AI
When decisions about your healthcare are informed by AI, bias in machine learning can have dire consequences. Ph.D. student Trenton Chang researches how inequities in healthcare delivery impact machine learning and AI.Six new projects funded by LG AI Research
The projects are a part of LG’s mission to advance AI such as Deep Reinforcement Learning, 3D Scene Understanding, and Reasoning with a Large-scale Language Model and Bias & Fairness related to AI ethics.U-M team reaches next phase of Amazon Alexa Prize SimBot Challenge
Team SEAGULL, led by doctoral student Yichi Zhang and advised by Prof. Joyce Chai, strives to develop embodied AI agents capable of attending to users’ needs, following natural language instructions, collaborating, and continuously improving through interaction.Walking and slithering aren’t as different as you think
New mathematical model links up slithering with some kinds of swimming and walking, and it could make programming many-legged robots easier.Prof. Xinyu Wang collaborates with UiPath to democratize automation
The two will collaborate on building new programming techniques that are accessible to non-experts and non-programmers.Community-builder Leon Pryor takes Detroit’s FIRST Robotics program to new heights
Having excelled in careers at Microsoft, Amazon, and now Meta, the alum and renowned video game engineer co-founded The Motor City Alliance to make Detroit a powerhouse for FIRST Robotics teamsNatural Language Processing at Michigan Research Day
The meetup was intended to foster connections between researchers across campus with an interest in the development and application of NLP.Atkins chairs National Academies report on speeding discovery with automated research workflows
Prof. Emeritus Daniel Atkins III chaired and Prof. Al Hero served on a National Academies committee that published a new report describing the impact of artificial intelligence and automated research workflow technologies in propelling research and scientific discovery.Teaching Machine Learning in ECE
With new courses at the UG and graduate level, ECE is delivering state-of-the-art instruction in machine learning for students in ECE, and across the UniversityImmune to hacks: Inoculating deep neural networks to thwart attacks
The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacksLG AI Research opens North American Artificial Intelligence Research Center in Ann Arbor with strong ties to U-M
The LG AI Research Center, and its partnership with U-M, represents a commitment by LG to become a leader in developing advanced AI technologies.David Fouhey receives NSF CAREER Award for vision system to perceive the interactive world
His goal is to build AI systems that can recognize and understand a 3D and interactive world from a single image.Research on modeling time-variant systems earns Brockett-Willems Outstanding Paper Award
Prof. Peter Seiler co-authored the paper that focuses on reachability analysis for a variety of systems, including aircraft control and autonomous vehicles.Joyce Chai named ACL Fellow for significant contributions to grounded natural language processing and the interaction between language processing and robotics
Prof. Chai has been recognized for significant contributions to grounded natural language processing and the interaction between language processing and robotics.Peter Seiler named IEEE Fellow for his impactful contributions to robust control theory
Prof. Seiler’s contributions to Matlab’s Robust Control Toolbox and to the control of vehicle platoons have resulted in major industrial applications.Mimicking a human fingertip's sensitivity and sense of direction for robotic applications
With the help of 1.6 million GaN nanopillars per sensor, the University of Michigan team was able to provide human-level sensitivity with directionality on a compact, easily manufactured systemGenerating 3D spaces from a single picture
New model PixelSynth creates an interactive experience given just a single image.$1.7M to build everyday exoskeletons to assist with lifting, walking and climbing stairs
The modular exoskeleton system will help workers and the elderly, boosting ankle, knee and/or hip joints by mounting new motors to off-the-shelf orthotics.$1M for open-source first-responder robots
An open-source perception and movement system, to be developed with NSF funding, could enable robots that partner with humans in fires and disaster areas.Faster path planning for rubble-roving robots
Splitting the path into difficult and easy terrain speeds up path planning for robots that use “hands” to maintain balance on uneven ground.Helping autonomous agents make smarter decisions in chaotic environments
A new algorithm gives autonomous agents the ability to take in batches of multiple instructions at once while responding dynamically to changes in their surroundings.$20M NSF AI-EDGE Institute aims to transform 5G and beyond networks
University of Michigan is a core member of a new NSF-led Institute that is a collaboration between 11 institutions, three government research labs, and four global companies$7.5M MURI to make dynamic AI smarter and safer
Researchers from four U.S. institutions aim to pull the best from control theory and machine learning to build safer mobile, intelligent systems.Best paper award for a robot that can see and move transparent objects
A new method enables robot arms to build a tower of champagne glasses.
Helping robots learn what they can and can’t do in new situations
What should a robot do when it cannot trust the model it was trained on?
3D motion tracking system could streamline vision for autonomous tech
Transparent optical sensor arrays combine with a specialized neural network in new University of Michigan prototype
Jaylin Herskovitz selected for NSF Graduate Research Fellowship
Through her work in augmented reality, Jaylin hopes to improve the accessibility of emerging technologies for people with disabilities and expand access to computing.
Sky CH Wang selected for NSF Graduate Research Fellowship
Through his work in NLP and computational social science, Sky hopes to understand complex social interactions and contribute towards the democratization of technology.
Zhizhuo Zhou selected for NSF Graduate Research Fellowship
Zhizhuo is interested in computer vision and its ability to make breakthroughs in interdisciplinary fields such as ecology and climatology.
CSE doctoral student Tara Safavi receives Rackham Predoctoral Fellowship
The fellowship will advance her work in inferring relational world knowledge in machines with explicit and implicit representations.
Lu Wang earns CAREER Award to summarize long text with machine learning
Wang hopes that, by summarizing longer documents, she can make a new class of information more accessible to a variety of audiences.
U-Michigan, Ford open world-class robotics complex
The facility will accelerate the future of advanced and more equitable robotics and mobilityQi Zhang selected as first recipient of David J. Kuck Dissertation Prize
His work is in the area of coordinating systems of autonomous agents that operate in uncertain, dynamic environments.
Seven papers by CSE researchers presented at AAAI 2021
Twelve students and faculty co-authored papers spanning several key application areas for AI.
Fairer AI for long-term equity
Prof. Mingyan Liu is a key member of a project to mitigate bias in Artificial Intelligence and Machine Learning systems for long-term equitable outcomes.
Zeyu Zheng selected for JP Morgan PhD Fellowship
His work on reinforcement learning is aimed at accelerating the training of RL agents.
Incoming faculty Anhong Guo named one of Forbes’ 30 Under 30 in Science
This distinction recognizes young researchers with exceptional promise who are having an impact on the world.
Student NASA award supports work on more dexterous, collaborative space robots
PhD student Emily Sheetz is working to design more dexterous robots to work alongside humans in space.
New grant to expand open source control software for an intuitive robotic prosthetic leg
University of Michigan researchers have been awarded an NSF grant to design an open source framework for robotic prosthetic legs that function more naturally and offer a wider range of capabilities.
New research teaches AI how people move with internet videos
The project enables neural networks to model how people are positioned based on only partial views of their bodies, like perspective shots in instructional videos or vlogs.
$1.8M DARPA project aims to protect cars, trucks and spacecraft from hackers
Ironpatch could head off growing danger of security vulnerabilities in vehicle systems.
Prof. Danai Koutra recognized as rising star with ACM SIGKDD Award
The Rising Star Award is based on an individual’s whole body of work in the first five years after the PhD.
Baris Kasikci earns CAREER Award to automatically improve software quality with data from everyday program use
Kasikci will sift through the byproducts of hundreds of millions of common program executions to determine how this data can automate some key steps in bug finding and fixing.
Space motor helps make robotic prosthetic leg more comfortable and extends battery life
Getting rid of some gears enabled a free-swinging knee, regenerative braking and brought the noise level down from vacuum cleaner to fridge.
The Wolverines Behind the Next Generation of Autonomous Vehicles
The Center for Entrepreneurship profiles a team of EECS students, who are working to develop the next generation of delivery vehicles.Technology that serves all: a single step could pave the way
A Q&A with Chad Jenkins.
Model helps robots think more like humans when searching for objects
The model is a practical method for robots to look for target items in complex, realistic environments.
AI-powered interviewer provides guided reflection exercises during COVID-19 pandemic
The virtual interviewer uses therapeutic writing techniques to help users cope with difficult situations.
Research on human biases in AI learning earns best student paper award
The project, which received a best paper award, demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.
Faster than COVID: a computer model that predicts the disease’s next move
Predictive model could help care providers stay safe, anticipate patient needs.
Faculty Profile: Emily Mower Provost
Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.
Computer scientists employ AI to help address COVID-19 challenges
Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.
Emily Mower Provost named Toyota Faculty Scholar
Her work uses machine learning to measure mood, emotion, and other aspects of human behavior for purposes of providing early or real-time interventions for people in managing their health.
Live public street cams are tracking social distancing
Voxel51, a U-M startup led by Prof. Jason Corso, uses custom AI to continuously track vehicle, cyclist, and pedestrian traffic in real time at some of the most visited places in the world.
CSE researchers present 9 papers at leading AI conference
The students and faculty submitted projects spanning several key application areas for AI.Alumnus Peter Wurman inducted into National Inventors Hall of Fame
Wurman and his cofounders were recognized for their invention of the Kiva system, a revolutionary warehouse order fulfillment system that uses mobile robots and control software to bring inventory shelves to workers.
Michigan AI celebrates second annual symposium
The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.
A World Record for Robotic Deep Freeze Walking
Cassie Blue, the bipedal robot, takes advantage of the 2019 polar vortex to set a record-breaking walk.
AI-powered Whatsapp Bot fights fake news in India
CE undergrad Amulya Parmar designed a machine learning algorithm to curb fake news as part of the Tavtech Fellowship program.
New attack on autonomous vehicle sensors creates fake obstacles
Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.
Taking machine-learning models in health care from concept to bedside
The authors provide an overview of common challenges to implementing ML in a health-care setting, and describe the necessity of breaking down the silos in ML.U-M researchers provide control software to ensure autonomous vehicles stay in their lane
The team was awarded a Best New Application Paper Award by the IEEE Robotics and Automation Society for their work developing reliable control systems for Lane Keeping and Adaptive Cruise Control.
Year of growth, experiments for May Mobility
May Mobility intends to gradually acclimate the public to the experience of autonomous driving.
DARPA Award for more responsive AI that combines human and machine
The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.
Paper recognized for lasting contributions to AI decision making
Baveja’s paper tackled the difficult problem of giving artificial intelligence a way to understand and represent knowledge collected over time.
First programmable memristor computer aims to bring AI processing down from the cloud
Circuit elements that store information in their electrical resistances enable a brain-like form of computing, storing and processing information in the same place.
Six teams of ECE researchers make the finals at AP-S/URSI 2019
Second Prize overall went to doctoral student Xiuzhang Cai for his radar target classification research applicable to autonomous vehicles.
Computer vision: Finding the best teaching frame in a video for fake video fightback
The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.
Advancing AI for Video: Startup launches powerful video processing platform
Voxel51 uses AI processing to identify and track objects and activities through video clips.
New lecture series brings AI to the public
The new event series aims to create an educational environment for the public.SLAM-ming good hardware for drone navigation
Researchers built the first visual SLAM processor on a single chip that provides highly accurate, low-power, and real-time results.
A quicker eye for robotics to help in cluttered environments
New algorithm can help robots go from structured environments like factories to complex, unstructured places like our homes.
Rackham Fellowship for enabling autonomous agents to learn continuously
“What I’m doing is trying to come up with ideas to let the agent continue learning different skills across its life.”
‘Air traffic control’ for driverless cars could speed up deployment
Human-generated responses could remotely assist autonomous vehicles decision’s during times of uncertainty.
More efficient machine vision technology modeled on human vision
Prof. Robert Dick and advisee Ekdeep Singh Lubana developed a new technique that significantly improves the efficiency of machine vision applications
Precision Health Award for measuring moods
The result will be new measurement methods to determine how moods are shaped by both the behavior of an individual and daily interactions over time
Two papers announced among 10 most influential in healthcare and infection control
The papers provide data-driven solutions to hospital infection and the use of machine learning in healthcare.
The logic of feeling: Teaching computers to identify emotions
A Q&A with machine learning expert Emily Mower Provost.
Jason Corso on artificial intelligence
The most exciting use of AI for me focuses around a better collective use of our available resources, says Prof. Corso.
Faculty spotlight: Rada Mihalcea
Rada Mihalcea is a rock star professor of Electrical Engineering and Computer Science at U-M’s College of Engineering and a champion for the growth and retention of women in that field.
Connected cars can lie, posing a new threat to smart cities
The day when cars can talk to each other – and to traffic lights, stop signs, guardrails and even pavement markings – is rapidly approaching.
Paper award for training computer vision systems more accurately
PhD student Jean Young Song offers an improved solution to the problem of image segmentation.
Exoskeletons compete to boost strength of rescue workers
Five college teams test robotic suits that could enhance humans’ abilities.
Dmitry Berenson receives NSF CAREER Award to advance a robot’s ability to handle soft objects
Berenson works to improve the ability of autonomous robots to handle soft, deformable objects.
Preventing deadly hospital infections with machine learning
Model successfully applied to data from medical centers with different patient populations, electronic health record systems
Duplicate text detection system now integrated with conference management software
The system is currently being used by IEEE and ACM, and helps them enforce their new 30%-policy.
Necmiye Ozay receives ONR Young Investigator Award to advance research in autonomous systems
Research will focus on how autonomous vehicles adapt to wide-ranging changes.
BMW, Toyota invest in U-M startup May Mobility
Other investors include Detroit Venture Partners, Maven Ventures, SV Angel, Tandem Ventures, Trucks Ventures, and YCombinator.
Prof. John Laird and CSE Alumna Shiwali Mohan receive award for research on learning in autonomous intelligent agents
The award is for papers that present ideas and visions that can stimulate the research community to pursue new directions, such as new problems, new application domains, or new methodologies.
Professor Michael Wellman shares expertise in Asimov Memorial Debate
The debate was held at the American Museum of Natural History and was hosted by Neil deGrasse Tyson.
Emotions predicted by examining the correlation between tweets and environmental factors
External factors, ranging from weather, news exposure, social network emotion charge, timing, and mood predisposition may have a bearing on one’s emotion level throughout the day.
Michigan, Georgia Tech researchers funded to deter financial market manipulation
Increasingly, market manipulators are attacking market integrity through complex computer-controlled attacks.
Improving natural language processing with demographic-aware models
Word associations vary across different demographics, allowing researchers to build better natural language processing models if they can account for demographics.
Getting people moving – Walking exoskeletons could mobilize disabled patients
Prof. Jessy Grizzle has long said that his work in robotics could one day be used to help the disabled. Now he and his group, alongside French company Wandercraft, are working to make that claim a reality in the form of walking exoskeletons.
Latest two-legged walking robot arrives at Michigan
Built to handle falls, and with two extra motors in each leg, the new robot will help U-M roboticists take independent robotic walking to a whole new level.
BigANT tackles the wave field
Prof. Shai Revzen’s lab in ECE has developed an inexpensive technique to rapidly fabricate a variety of useful robots.
Codeon is the intelligent assistant for software developers
With Codeon, developers can request help by speaking their requests aloud within the context of their Integrated Development Environment (IDE).
Dmitry Berenson helps robots play nice with people
Putting our arm movements into code.
Building more stable four-legged robots
A biologist turned roboticist takes a closer look at dog gaits to help design better movements for four-legged robots.
How to build a BigANT – Shai Revzen’s critter-inspired robots
How to build fast and cheap robots
Shai Revzen part of a new five-institution MURI focused on the control of dynamic systems
As a member of the DDOTS to PICS MURI, Revzen will advance modeling and control of dynamic systems.
Wellman participates in AI doomsday prevention workshop
Michael Wellman, a U-M Engineering professor, recently took part in a workshop to anticipate and prevent possible adverse outcomes of artificial intelligence.
CSE-based startup Clinc receives $6.3M in funding to further develop intelligent banking assistant
Clinc has built Finie, the world’s most advanced voice-controlled A.I. platform for banking.
CASSIE: A tougher, lighter bipedal robot with eyes
New walking robot based on birds
U-M first in line for new bird-inspired walking robot
Cassie is the first offering from new startup Agility Robotics, and is loosely modeled on the cassowary, a flightless bird similar to an ostrich.
$1.1 million grant to develop robot emergency response capabilities
Office of Naval Research has awarded Dmitry Berenson, an assistant professor of Electrical Engineering and Computer Science, $1.1 million to help advance emergency response capabilities for robots.
Jia Deng selected as recipient of PAMI Mark Everingham Prize
Prof. Deng and his collaborators received the award for their work on ImageNet.
Clinc launches Finie, an AI personal assistant for mobile banking
Finie, which can be referred to as the “Siri” of personal banking, is an artificial intelligence platform for banks that helps customers talk to their bank accounts in a natural and conversational way.
COVE: a tool for advancing progress in computer vision
Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.
Engineering an advantage in debates
Researchers at the University of Michigan have developed an algorithm that can analyze and measure the amount that one candidate linguistically matches their opponent and have found that matching your opponent in a debate leads to higher polling numbers.
Chad Jenkins receives NSF National Robotics Initiative Grant to improve robotic control in cluttered environments
This project aims to improve goal-directed dexterous robotic manipulation in cluttered and unstructured environments.
Necmiye Ozay receives NASA Early Career Faculty Award for research in cyber-physical systems
Prof. Ozay’s award-winning work will be used in future space missions
Toyota Research Institute Partners with U-M on Artificial Intelligence
Toyota will invest $22 million to begin research collaborations focused on autonomous vehicles and advanced robotics. Profs. Edwin Olson and Ryan Eustice will assume roles at the facility to lead research into perception and mapping/localization.CSE-based startup receives funding to develop systems based on intelligent personal assistant technology
Clinc has built Lucida, its state-of- the-art, open-source intelligent assistant and machine learning platform that allows developers and the open-source community to easily create and deploy personalized voice and vision-based intelligent assistants.
Researchers seek to help the disabled with intelligent robotic wheelchair
Vulcan, the intelligent robotic wheelchair, aims to help the elderly and those with disabilities effortlessly move around their environment.
New venture is on the path to build continual learning AIs
Cogitai was formed with the aim of developing AI technology that empowers machines to learn from interaction with the real world.
EECS research highlighted at 2016 Robotics: Science and Systems Conference
The University hosted the 2016 Robotics: Science and Systems Conference, which allowed attendees to hear about the latest in robotics through talks, presentations, workshops, and tutorials.
Prof. Dragomir Radev Teaching Course on NLP Through Coursera
Prof Radev is teaching the 12-week course twice this summer; the course is free and open to the public.MARLO makes initial attempt at the Wave Field
For now, Grizzle and his graduate students are only attempting the easiest routes, between the grassy two- to three-foot moguls, over smaller undulations that he calls “merely very difficult.”
An award winning radar system for collision avoidance and imaging
Armin’s research is focused on the development of a sub-millimeter-wave radar system for the next generation of navigation and imaging sensors.
Patented camera calibration tool automates calibration target acquisition
This innovative software guides users through the process of collecting a set of images of a calibration target.
Michigan shines at the National Robotics Initiative 5 year anniversary
The NRI is a multi-agency effort to accelerate the development and use of robots that work beside or cooperatively with people.
Beyond Asimov: How to plan for ethical robots
As robots become integrated into society more widely, we need to be sure they’ll behave well among us.Rada Mihalcea co-authors new book on text mining
Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections.
MARLO, the free-standing two-legged robot, conquers terrain with innovative control algorithms
The robot’s feedback control algorithms should be able to help other two-legged robots as well as powered prosthetic legs gain similar capabilities.
Students receive prizes for simulating the best landing of a rocket booster
The goal of the class project was to control the safe landing of a rocket booster after it disengaged from the portion of the rocket that would continue into Space.
CSE faculty lead university collaboration with Toyota on autonomous vehicles
Faculty members Edwin Olson and Ryan Eustice are joining TRI as area leads.
Yu-Wei Chao selected for Google PhD Fellowship
Yu-Wei is a third year PhD student whose research focuses on computer vision and machine learning.
U-M researchers launch fight against C. difficile with $9.2M grant from NIH
Prof. Wiens will continue to use machine learning techniques to study the disease.
Machine learning proves useful for analyzing NBA ball screen defense
The team used machine learning to extract information from NBA sports data for automatically recognizing common defense strategies to ball screens.
Honglak Lee selected for Sloan Research Fellowship
His work impacts computer vision, audio recognition, robotics, text modeling, and healthcare.
Necmiye Ozay receives CAREER award for research in cyber-physical systems
Cyber-physical systems are smart, networked systems with embedded sensors, processors, and actuators that are designed to interact with the physical world.
Jenna Wiens receives NSF CAREER Award to increase the utility of machine learning in clinical care
Her primary research interests lie at the intersection of machine learning and healthcare.
Jason Mars receives CAREER Award to advance system architectures for artificially intelligent services and applications
The award will enable Prof. Mars to understand how future cloud and mobile systems should be designed to support increasing demand from users of intelligent assistants.
U-M, IBM partner on advanced conversational computing system
The project aims to develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university.
U-M, Ford are first to address autonomous driving on snow-covered roads
The solution Ford and U-M are working on involves high-resolution 3D maps. U-M researchers have developed these maps and Ford’s test vehicles are equipped with them.
Lie-detecting software uses real court case data
U-M researchers are building a unique lie-detecting software that works from studying real world data from real, high-stakes court cases.
Ford, Michigan Researchers Test First Autonomous Vehicle at Mcity
The scope of the project consists of a number of thrusts including a key research collaboration led by Profs. Edwin Olson and Ryan Eustice, who are playing a leading role in the development of the critical sensing and decision-making found in the Ford test vehicles.
Brad Campbell and Pat Pannuto Organize Robo Cafe Demo at DARPA Tech Conference
The demo focused on a robot delivery service, called Robo Café, where a team of robots delivered snacks to attendees at the touch of a button.
An Autonomous "SmartCart" Testbed is Coming to Michigan
Over the next year, U-M researchers will develop autonomy capabilities and build a mobile phone interface users can use to request a ride.
ECE welcomes new engineering robotics center
The center, to be built on North Campus, will offer state-of-the-art facilities in a 3-story, 100,000 square foot building.
ECE’s ideas worth spreading – TEDxUofM
Profs. Shai Revzen and Herbert Winful spoke about their passion for their work at the sixth annual conference, themed “Constructive Interference”.
Meet Sirius: An Open-Source Digital Assistant
Sirius as an important platform for research into the development of next-generation warehouse computing. It gives researchers a testbed for studying how the data centers that process voice-enabled queries should evolve.
Jessy Grizzle Delivers Distinguished University Professorship Lecture on Bipedal Robots
The lecture covered the different iterations of Prof. Grizzle's world-renowned bipedal creations since he started work on Rabbit in 1999.HEV fuel economy meets drivability in Outstanding Control Systems Paper
The research aimed to find a happy medium between fuel economy and drivability in hybrid electric vehicles.
Necmiye Ozay awarded DARPA Young Faculty Award for research in cyber and physical systems
Prof. Ozay’s research interests lie at the broad interface of dynamical systems, control, optimization and formal methods with applications in system identification, verification and validation, autonomy and vision.ECE welcomes four new faculty for 2014-15 academic year
These faculty deepen ECE’s areas of expertise in computer vision, communications and information theory, environmental remote sensing, and laser-plasma interactions.
Technological singularity passes, unnoticed until now
Two-legged robot walks outside at U-M
MARLO and its counterparts represent the second bipedal robot model in the world with a gait that isn't flat-footed.
Research in distributed networks earns Notable Paper Award at AISTATS
The research provides a way to efficiently reveal relationships between even distant entities in a network.
Cockroaches and Robots: Reverse engineering the balance systems of animals
These new insights could one day help engineers design steadier robots and improve doctors’ understanding of human gait abnormalities.
Translating animal movement into better robotic design
Revzen believes that his findings can be used to engineer better man-made devices, including prosthetic limbs and complete robots.
Bourne Pursuit: Improving computer tracking of human activity
Researchers have found a way to improve a computer’s human-tracking accuracy by looking at where the targets are going, but also at what they’re doing.
John Laird Authors Book on Soar Cognitive Architecture
Professor John E. Laird, the John L. Tishman Professor of Engineering in the EECS Department, has authored a new book entitled "The Soar Cognitive Architecture," which has been published by MIT Press.Robots Building Better Maps: For robots and other mechanical creatures
Nick’s primary research involves creating algorithms that decipher what the cameras and lasers are detecting to generate a map.
Jessy Grizzle Honored with Hendrik W. Bode Lecture Prize from IEEE Control Systems Society
This prestigious honor recognizes distinguished contributions to control systems science and engineering.Sid Bao earns Best Student Paper Award for Computer Vision Research
Bao’s research is in Semantic Structure from Motion, a new framework for jointly recognizing objects as well as reconstructing their underlying 3D geometry.
MABEL the bipedal robot
MABEL, at one time the world’s fasted running bipedal robot, now sits in the biomechanics exhibit at the Chicago Field Museum.
Gyemin Lee receives Best Paper Award for research in machine learning for biomedical diagnosis
Lee’s primary motivation is to apply his research methods to hematopathology, the study of blood-related diseases.
Best Paper Award in Automation Research
The award was given at the IEEE Conference on Automation and Engineering. Congratulations, Lindsay!