Online time-optimal trajectory generation with velocity, acceleration and jerk limits — sub-millisecond replanning from any state, enabling instant reaction to sensor input. MIT community core; Pro adds waypoints and velocity-level control.
Online time-optimal trajectory generation with velocity, acceleration and jerk limits — sub-millisecond replanning from any state, enabling instant reaction to sensor input. MIT community core; Pro adds waypoints and velocity-level control.
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Ruckig computes time-optimal, jerk-limited trajectories online: from any initial state (position, velocity, acceleration) to any target state, within given kinematic limits, in well under 1 ms per cycle. That makes robots reactive — visual servoing, collision avoidance and target updates no longer require stopping or offline replanning. Born from Lars Berscheid's RSS 2021 paper at KIT and maintained by Griffig Robotics GmbH, the MIT-licensed community version powers the trajectory smoothing in MoveIt 2 and CoppeliaSim; Ruckig Pro adds intermediate waypoints, velocity/acceleration-level interfaces and embedded targets for commercial motion stacks.
3 other Motion Planning Library products, closest hero specs and price first. Suggestions, not recommendations.
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