reinforcement learning
Coverage of reinforcement learning in the Nexus archive.
- Robot soccer player dents wall with terrifying kicks
A robot soccer player from Booster Robotics, the T1 humanoid, demonstrated powerful kicks capable of denting walls. The robot, designed for research and development, showcases balance, control, and strength, with applications in environments like warehouses or disaster zones. The video highlights its potential risks and capabilities in autonomous tasks.
- TycoonLE: A Jax reinforcement learning environment for long-horizon planning
TycoonLE is a Jax reinforcement learning environment designed for long-horizon planning. The article provides a GitHub repository link and a Hacker News discussion thread.
- Hyundai to send 25,000 Atlas robots to the US
Hyundai Motor Group plans to deploy over 25,000 Boston Dynamics Atlas robots in U.S. manufacturing facilities starting in 2028, with Kia's Georgia plant following in 2029. The robots, designed to perform physically demanding tasks and adapt to dynamic factory conditions, aim to address labor shortages and enhance production flexibility.
- Google DeepMind Veteran Raises $1.1 Billion to Build AI That Isn’t Trained With Human Data
Ineffable Intelligence, founded by a Google DeepMind veteran, has raised $1.1 billion to develop AI using reinforcement learning, bypassing traditional large language models trained on human data. The company aims to pursue superintelligence through alternative AI methodologies.
- Toyota's CUE7 robot shoots hoops using AI
Toyota's CUE7 robot, a 7-foot-2 AI-powered humanoid, successfully performed basketball tasks like dribbling and free throws at Toyota Arena Tokyo. Unlike previous models, CUE7 uses reinforcement learning to adapt autonomously, marking a shift from pre-programmed movements. The robot's debut highlights Toyota's advancements in AI and robotics.
- A robot is beating human pros at table tennis. Its maker calls it a milestone for machines
Sony's table tennis robot, Ace, built using AI and reinforcement learning, has challenged and sometimes defeated elite human players, marking a milestone in robotics. The robot uses nine cameras and adaptive movements to achieve expert-level play in a physical competitive sport.
- Outplaying elite table tennis players with an autonomous robot
An autonomous robot system named Ace, combining event-based vision and reinforcement learning, successfully competes with elite human table tennis players. The system demonstrates the potential of physical AI agents to handle complex, real-time interactive tasks.