Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

AGIBOT deploys Real-World Reinforcement Learning (RW-RL) in industrial robotics with Longcheer Technology. Robots now learn ...

Humanoid robots have come on leaps and bounds in recent times, and much is expected of the advanced machines in the coming ...

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 ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

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 ...

At UC Berkeley, researchers in Sergey Levine’s Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks stood perfectly stacked. Then a white-and-black robot, its single limb doubled ...

Intrinsic motivation, a concept drawn from behavioural science, has gained significant traction in robotic research as a means to stimulate exploratory behaviour in the absence of explicit external ...

"Logistics companies are under continuous pressure to deliver items faster and for lower cost, which puts a lot of strain on operations to maintain reliability while rapidly adapting for the future," ...