Python robot programming methods: hybrid automata (behavior state machine) So far we’ve described two behaviors—go-to-goal and avoid-obstacles—in isolation.

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

The robot observes a task being completed and replicates the movement of said task. The second method is to program specific tasks, goals, and constraints via motion-planning coding.

ShengShu's Vidar technology revolutionizes humanoid robot training by using AI-generated synthetic video, reducing required ...

The new method produces high accuracy while reducing the amount of help required by a robot compared to other methods of tackling this issue.

Researchers developed a dual-LLM approach to automate robot programming, significantly reducing development time and enhancing code reliability.

Atlas, Boston Dynamics’ dancing humanoid, can now use a single model for walking and grasping—a significant step toward ...

Jian Gong Repair stated that the AI robot program has completed development and has been practically deployed in a high-standard farmland project. In this project, the robot performed excellently, ...

When it comes to methods of locomotion for robots, wheels are good for some things, while legs are better for others. Scientists are now working on a bot that combines the best of both worlds ...