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.

SoftBrainPhantom: Magnetic soft robot, with multiple magnetic sections so its whole shape can be controlled, is navigated within a brain phantom. Using the planner, it was successfully navigated from ...

This is the metadata section. Skip to content viewer section. According to the problem that the existing high-speed parallel robot cannot satisfy the operation requirements of non-planar industrial ...

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

Aiming at the problem of singular area in the working space when designing the parallel casting mechanism of the pouring robot, and the sensitivity of the pouring liquid to acceleration of the ladle, ...

Recent advancements in table tennis robotics have transformed the landscape of automated play, bringing together cutting‐edge techniques in motion planning, control, and trajectory prediction. At its ...

UC Berkeley recently released a video demonstrating its latest creation, the Humanoid Table TEnnis Robot (HITTER), playing a ...

Computer scientists develop a method that allows humans to help complex robots build efficient solutions to 'see' their environments and carry out tasks. Just like us, robots can't see through walls.