A live-streamed experiment puts rival AI systems in a shared digital house to see how they collaborate, clash and ...
Obsessing over model version matters less than workflow.
Ashutosh Saxena M.S. ’06 Ph.D. ’09 built his career proving that robots can learn. From conducting early artificial intelligence (AI) research at Stanford to founding companies, Saxena now builds ...
Researchers from Tongji University and Shanghai Jiao Tong University have developed a socially aware prediction-to-control pipeline that lets autonomous vehicles safely navigate dense crowds by ...
Humanoid robots have dominated China’s tech headlines this year — dancing on the Spring Festival Gala stage, running marathons, even sparring in boxing rings. But far from the spotlight, in a ...
Real-time high-quality retargeting, unlock the potential of real-time whole-body teleoperation, i.e., TWIST. Carefully tuned for good performance of RL tracking policies. Support multiple humanoid ...
Abstract: Most of today’s simultaneous localization and mapping (SLAM) approaches learn the map of the environment in the first stage (referred to as mapping) and subsequently use this static map for ...
Discover the latest breakthroughs in robotic tactile sensing and how they are transforming the capabilities of humanoid robots. This video explores the advanced technology behind Sanctuary AI's ...
Abstract: The simulation-to-reality (sim-to-real) transfer of large-scale hydraulic robots presents a significant challenge in robotics because of the inherent slow control response and complex fluid ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results