FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

This multi-objective setup encourages natural walking behavior rather than rigid or inefficient movement. A four-stage ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

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

Yet, despite all this progress, there’s one question I hear again and again from warehouse operators: Why aren’t we getting ...

As CES 2026 approaches, one robotics debut is already standing out for its focus on real-world problems rather than ...

Elon Musk’s concern that China could overtake the US in humanoid robotics played out visibly at CES in Las Vegas, where ...

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

When Aaron Tan began his PhD in mechanical and industrial engineering at the University of Toronto in 2019, leading a ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

How will AI disrupt the labor market? What will deepfake videos mean for our understanding of truth? Are we in a bubble, and ...

With the right policy support, the sector can reach a size of USD 120-130 billion by 2030, and expand further to about USD ...