Of or relating to a class of problems, in robotics and motion planning, for which velocity, acceleration, and force/torque bounds must be satisfied, together with kinematic constraints such as avoiding obstacles..
예문
Kinodynamic planning attempts to solve a robot motion problem subject to simultaneous kinematic and dynamics constraints. In the general problem, given a robot system, we must find a minimal-time trajectory that goes from a start position and velocity to a goal position and velocity. While exact solutions to this problem are not known, we provide the first provably-good approximation algorithm. and show that it runs in polynomial time.
Currently, state-of-the-art methods evolve around kinodynamic variants of popular sampling-based algorithms, such as Rapidly-exploring Random Trees (RRTs).
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Kinodynamic planning attempts to solve a robot motion problem subject to simultaneous kinematic and dynamics constraints. In the general problem, given a robot system, we must find a minimal-time trajectory that goes from a start position and velocity to a goal position and velocity. While exact solutions to this problem are not known, we provide the first provably-good approximation algorithm. and show that it runs in polynomial time.