Last year, PNDbotics debuted its latest humanoid platforms at WAIC 2025, highlighting advances in actuation, control, and ...

What if robots could learn to adapt to their surroundings as effortlessly as humans do? The rise of quadruped robots, like Boston Dynamics’ Spot, is turning this vision into reality. By integrating ...

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Tesla is ramping up hiring for its humanoid robot program, Optimus, including some reinforcement learning engineers. It was hard to take Tesla Bot seriously when Elon Musk announced it by having ...

Figure AI has developed a new humanoid robotic natural walking capability for its humanoid robots, leveraging reinforcement learning (RL) and simulation-based training. This approach enables the ...

What Is Physical AI & Robotics? Physical AI & Robotics refers to intelligent systems where artificial intelligence is embedded directly into physica ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

In the shared video, when instructed to bring a can, the Menteebot V3 humanoid first interprets the spoken request, then ...

Trends such as industry-specific AI and a new data economy will affect physical AI in 2026, says a Universal Robots executive.