HYPRLABS Emerges from Stealth with HYPRDRIVE™, A "No-Priors" AI Architecture Learning Directly from Reality

HYPRLABS Inc. (HYPR), an AI robotics company based in San Francisco and Paris, today emerged from stealth with HYPRDRIVE™, a ...
Science News

Reinforcement learning AI might bring humanoid robots to the real world

ChatGPT and other AI tools are upending our digital lives, but our AI interactions are about to get physical. Humanoid robots trained with a particular type of AI to sense and react to their world ...
Hosted on MSN

Legged robots skateboard successfully with reinforcement learning framework

Legged robots, which are often inspired by animals and insects, could help humans to complete various real-world tasks, for instance delivering parcels or monitoring specific environments. In recent ...
WTAE-TV

Intuitive learning at Carnegie Mellon: Robots improve with reward reinforcement

THESE DROIDS HOW TO FUNCTION. RIGHT NOW, WE ARE STEPPING BACK INTO THE FUTURE WITH A RARE LOOK INSIDE THE ROBOTICS INSTITUTE AT CMU. THE WORK BEING INVENTED RIGHT HERE IN PITTSBURGH WILL HAVE A MAJOR ...
TweakTown

Figure's robots now walk a little less like C-3PO, thanks to reinforcement learning

TL;DR: FigureAI has developed an AI-powered walking controller for its Figure 02 humanoid robot, enhancing its movement to be more human-like with features such as heel strikes and synchronized arm ...
EurekAlert!

A graph reinforcement learning framework for real-time distributed multi-robot task allocation

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 ...
Wired

Meet the Chinese Startup Using AI—and a Team of Human Workers—to Train Robots

AgiBot, a humanoid robotics company based in Shanghai, has engineered a way for two-armed robots to learn manufacturing tasks through human training and real-world practice on a factory production ...