Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for ...

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 ...

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 ...

Robot news has been coming fast and furious this month. One robot won a half-marathon in Beijing, and others captured a Russian position in Ukraine. And last week, we learned of a robotic arm that ...

The field of robotics is undergoing a profound transformation driven by rapid advances in artificial intelligence, particularly large language models and ...

Meta has purchased Assured Robot Intelligence (ARI), a humanoid robotics startup, to strengthen its Superintelligence Labs division and advance physical AI capabilities. The acquisition brings in ...

Reinforcement learning is a subset of machine learning where the machine is scored on their performance (“evaluation function”). Over the course of a training session, behavior that improved final ...

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 ...

Quadrupedal robots are becoming a familiar sight, but engineers are still working out the full capabilities of these machines. Now, a group of researchers from MIT says one way to improve their ...

The Infinite Loop by Nebius reports robots like Digit are learning to work in warehouses, balancing safety and AI for future ...