Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

The companies have jointly developed an AI robot control system that can interact with the physical world and be used in various fields from logistics to rescue operations. Tests have shown that in ...

AI can help develop methods of locomotion that are unconventional but fast AI can help develop methods of locomotion that are unconventional but fast is a senior reporter who has covered AI, robotics, ...

PNDbotics has unveiled the Adam-U Ultra, a new humanoid robot positioned as a step ...

Boasting a sophisticated design tailored for versatile mobility, Cassie demonstrates remarkable agility as it effortlessly navigates quarter-mile runs and performs impressive long jumps without ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. Researchers are training robots to perform an ever-growing number ...

Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 Deep Learning Foundations from Scratch ) and strong familiarity with the Python programming language. Python will be used for all coding ...

Slick, viral videos from Boston Dynamics are impressive but teaching a robot to walk by itself is a lot harder. A pair of robot legs called Cassie has been taught to walk using reinforcement learning, ...