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Even robots make mistakes: How humans walk with imperfect exoskeletons

When lower limb exoskeletons—mechanical structures worn on the leg—do not operate properly, some people adjust quickly while others compensate with their ankle or hip, expending more energy than necessary, according to a new study by University of Michigan researchers.

AI making waves in marine data collection

Numerous measurement stations around the world provide us with data about air quality, allowing us to enhance it. Although we are increasingly collecting data from marine areas, access to such data is considerably more challenging. Signals are poorly transmitted through water, differences in both pressure and currents hinder measurement devices and there is an absence of pre-constructed computing infrastructure. Could intelligent technologies help us improve marine data collection?

Robotic interface masters a soft touch

The perception of softness can be taken for granted, but it plays a crucial role in many actions and interactions—from judging the ripeness of an avocado to conducting a medical exam, or holding the hand of a loved one. But understanding and reproducing softness perception is challenging because it involves so many sensory and cognitive processes.

2024 BAIR Graduate Directory

Every year, the Berkeley Artificial Intelligence Research (BAIR) Lab graduates some of the most talented and innovative minds in artificial intelligence and machine learning. Our Ph.D. graduates have each expanded the frontiers of AI research and are now ready to embark on new adventures in academia, industry, and beyond.

These fantastic individuals bring with them a wealth of knowledge, fresh ideas, and a drive to continue contributing to the advancement of AI. Their work at BAIR, ranging from deep learning, robotics, and natural language processing to computer vision, security, and much more, has contributed significantly to their fields and has had transformative impacts on society.

This website is dedicated to showcasing our colleagues, making it easier for academic institutions, research organizations, and industry leaders to discover and recruit from the newest generation of AI pioneers. Here, you’ll find detailed profiles, research interests, and contact information for each of our graduates. We invite you to explore the potential collaborations and opportunities these graduates present as they seek to apply their expertise and insights in new environments.

Join us in celebrating the achievements of BAIR’s latest PhD graduates. Their journey is just beginning, and the future they will help build is bright!

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Testing an unsupervised deep learning model for robot imitation of human motions

Robots that can closely imitate the actions and movements of humans in real-time could be incredibly useful, as they could learn to complete everyday tasks in specific ways without having to be extensively pre-programmed on these tasks. While techniques to enable imitation learning considerably improved over the past few years, their performance is often hampered by the lack of correspondence between a robot's body and that of its human user.

4D Knit Dress robot uses several technologies to create a custom design and a custom fit

Until recently, bespoke tailoring—clothing made to a customer's individual specifications—was the only way to have garments that provided the perfect fit for your physique. For most people, the cost of custom tailoring is prohibitive. However, the invention of active fibers and innovative knitting processes is changing the textile industry.

Physicists develop a modular robot with liquid and solid properties

Schools of fish, colonies of bees, and murmurations of starlings exhibit swarming behavior in nature, flowing like a liquid in synchronized, shape-shifting coordination. Through the lens of fluid mechanics, swarming is of particular interest to physicists like Heinrich Jaeger, the University of Chicago Sewell Avery Distinguished Service Professor in Physics and the James Franck Institute, and James Franck Institute research staff scientist Baudouin Saintyves, who apply physics principles to the development of modular, adaptive robotics.
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