OpenClaw RL introduces an asynchronous reinforcement learning framework that trains agents from live conversations, tool ...

Researchers in China have developed a new system that significantly improves how humanoid robots ...

Roboticists have struggled to get humanoid robots to effectively replicate athletic sports skills, such as those needed for tennis. These sports require highly dynamic motion, quick reactions, and ...

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 ...

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...

Blueprint enables massive-scale data processing and curation, synthetic data generation, reinforcement learning and evaluation of ...

Experienced human cyclists can perform a wide range of maneuvers and acrobatics while riding their bicycle, from balancing in ...