Time-optimal motion planning represents a critical area in robotics research, focusing on the design of trajectories that minimise execution time while respecting kinematic and dynamic constraints.

Trajectory planning for industrial robots encompasses the development of algorithms to generate smooth, efficient and safe motion trajectories that adhere to strict kinematic and dynamic constraints.

Brown University researchers have developed an artificial intelligence model that can generate movement in robots and animated figures in much the same way that AI models like ChatGPT generate text.

Learn about Mujin’s approach to using digital twin technology, real-time motion planning and AI-driven autonomy in its Mujin OS. Get insights on Mujin OS’s no-code robot deployment, autonomous ...