Autonomy, AI & Robotics
The Wolverines Behind the Next Generation of Autonomous VehiclesThe 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.
CSE researchers present 9 papers at leading AI conferenceThe 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.
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 bedsideThe 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.
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.
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 publicThe new event series aims to create an educational environment for the public.
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.
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.
Prof. Jason Corso on artificial intelligence
The most exciting use of AI for me focuses around a better collective use of our available resources, says 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.
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.
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.
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).
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.
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.
Toyota Research Institute Partners with U-M on Artificial IntelligenceToyota 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 CourseraProf Radev is teaching the 12-week course twice this summer; the course is free and open to the public.
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.
Beyond Asimov: How to plan for ethical robotsAs 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.
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.
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.
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.