Achieves microsecond-level kinodynamic motion planning for high-DOF robots by using differential flatness to solve boundary value problems analytically.
March 18, 2026
Original Paper
Ultrafast Sampling-based Kinodynamic Planning via Differential Flatness
arXiv · 2603.16059
The Takeaway
Motion planning for complex robots usually requires heavy dynamic integration or BVP solving; this method parallelizes the process and provides closed-form solutions, making high-speed reactive planning feasible for manipulators and aerial vehicles.
From the abstract
Motion planning under dynamics constraints, i.e., kinodynamic planning, enables safe robot operation by generating dynamically feasible trajectories that the robot can accurately track. For high-\dof robots such as manipulators, sampling-based motion planners are commonly used, especially for complex tasks in cluttered environments. However, enforcing constraints on robot dynamics in such planners requires solving either challenging two-point boundary value problems (BVPs) or propagating robot d