Hosted on MSN
Robot, know thyself: New vision-based system teaches machines to understand their bodies
In an office at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), a soft robotic hand carefully curls its fingers to grasp a small object. The intriguing part isn't the mechanical ...
Integrated motion control allows all kinds of robots to tackle a range of tasks with precision, in contrast with conventional ...
The breakthrough builds on neuromorphic engineering, a field that designs hardware modeled after the human brain. Unlike traditional processors, which separate memory and computation, neuromorphic ...
Researchers from Beihang University and the Beijing Institute of Technology in China developed a brain-inspired chip which enables robots to detect and react to movement at four times the speed ...
New neuromorphic motion-detection hardware slashes processing delays in robots and autonomous vehicles, promising faster ...
A project at the Hong Kong University of Science and Technology (HKUST) has demonstrated an artificial compound eye that the team believes could revolutionize robot vision. Described in Science ...
Learn about Mujin’s approach to using digital twin technology, real-time motion planning and AI-driven autonomy in its Mujin OS. Get insights on Mujin OS’s no-code robot deployment, autonomous ...
Robotic systems depend on advanced machine vision to perceive, navigate, and interact with their environment. As both the number and resolution of cameras grow, the demand for high-speed, low-latency ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results