For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see ...

Xoxe was introduced as an advanced AI robot designed to learn faster than previous systems. What caught attention wasn’t just its intelligence, but its ability to predict events unfolding in the real ...

Humanoid robots have dominated China’s tech headlines this year — dancing on the Spring Festival Gala stage, running marathons, even sparring in boxing rings. But far from the spotlight, in a ...

Multi-robot systems are increasingly deployed in complex, dynamic environments such as environmental monitoring, industrial automation, and search-and-rescue missions. The coordination of such systems ...

Unitree Robotics has officially introduced the G1-D, its first wheeled humanoid robot designed for advanced data collection and model training. The robot serves as the centerpiece of a full-stack ...

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 ...

AgiBot, a robotics company focused on embodied intelligence, has achieved a major milestone by successfully deploying its Real-World Reinforcement Learning (RW-RL) system on a pilot production line ...

California-based AI and robotics company 1X is now accepting pre-orders for its humanoid robot NEO, which was designed to automate everyday chores and to offer personalized assistance. Users will be ...

Abstract: This work introduces a model-free reinforcement learning framework that enables various modes of motion (quadruped, tripod, or biped) and diverse tasks for legged robot locomotion. We employ ...

A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at ...