Category robots

Introducing SIMA, a Scalable Instructable Multiworld Agent

Introducing SIMA, a Scalable Instructable Multiworld Agent

Introducing SIMA, a Scalable Instructable Multiworld Agent

Introducing SIMA, a Scalable Instructable Multiworld Agent

Introducing SIMA, a Scalable Instructable Multiworld Agent

Introducing SIMA, a Scalable Instructable Multiworld Agent

Introducing SIMA, a Scalable Instructable Multiworld Agent

One of the primary challenges lies in equipping robots to understand and navigate dynamic environments and make informed decisions based on that information. This is where Practical Human Supervised Autonomy (PHSA) emerges as a game-changer.

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?

Miniature drives and microdrives can be found in virtually all areas of automation technology and have a correspondingly wide variety of applications. These range from medical technology and laboratory automation.

Researchers have developed a haptic device capable of reproducing the softness of various materials, from a marshmallow to a beating heart, overcoming a deceptively complex challenge that has previously eluded roboticists.

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.

MODEX 2024 is happening and our special newspage is loaded with news and product announcements from the event.

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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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.