For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Ten years ago, they were barely able to move. Today, the autonomous walking robots developed by Marco Hutter and his team are disrupting entire fields. In the future, these highly mobile robots could ...

A coverage of artificial intelligence, machine learning and statistical estimation topics that are especially relevant for robot operation and robotics research. Course evaluation will be largely ...

While TechForce Robotics does not currently utilize NVIDIA products, program access lays the groundwork for future integration of GPU-accelerated computing and AI optimization tools—advancing the ...

For that reason, the hardest and perhaps the most promising work of deep learning may lie in the realm of robotics, where the real world introduces constraints that cannot be fully anticipated. That ...

SHENZHEN, China, June 13, 2025 /CNW/ -- Shenzhen EngineAI Robotics, an innovator in humanoid robots, has officially released a comprehensive suite of open-source resources, providing developers with ...

SHENZHEN, China, June 13, 2025 /PRNewswire/ -- Shenzhen EngineAI Robotics, an innovator in humanoid robots, has officially released a comprehensive suite of open-source resources, providing developers ...