News
CMU Robot Puts on Shirts One Sleeve at a Time
Most people take getting dressed for granted. But data from the National Center for Health Statistics reveals that 92% of nursing facility residents and at-home care patients require assistance with dressing. Researchers at Carnegie Mellon University's Robotics Institute (RI) see a future where robots can[...]
Zakia Hammal Named Finalist for AI Researcher of the Year for the Women in AI Awards
Update: Congratulations to Zakia on winning in the AI in Research - AI Researcher of the Year category! Zakia Hammal, a systems scientist in Carnegie Mellon University's Robotics Institute and an assistant research professor in the Department of Biomedical Engineering, has been selected as a[...]
Parenting a 3-Year-Old Robot
CMU, Meta AI Researchers Develop Robotic Learning Agent That Can Master Multiple Skills RoboAgent can complete 12 manipulation skills across differing scenes. This research points toward a robotic learning platform adaptable to changing environments. Humans are social creatures and learn from each other, even from[...]
Enabling Autonomous Exploration
CMU's Autonomous Exploration Research Team has developed a suite of robotic systems and planners enabling robots to explore more quickly, probe the darkest corners of unknown environments, and create more accurate and detailed maps — all without human help. A research group in[...]
SCS Researchers Build New Generation of 3D Sensors With Micrometer-Scale Resolution
Researchers at CMU and the Israel Institute of Technology’s Technion have created 3D sensors that capture micron-scale depth detail, like the raised height of Washington’s head on a U.S. quarter. Ever wonder what the raised height of Washington's head is on a U.S. quarter? Or[...]
CMU Collaborates with Fujitsu Researchers on Breakthrough in Dynamic 3D Structure Representation
Dynamic Light Field Network (DyLiN) accommodates dynamic scene deformations, such as in avatar animation, where facial expressions can be used as controllable input attributes. Researchers from Carnegie Mellon University and Fujitsu have developed a new method to convert 2D images to a 3D structure. The[...]