Managing The Dynamics Of A Harmonic Potential Field-Guided Robot In A Cluttered Environment
This work addresses navigation challenges for holonomic and nonholonomic robots in complex settings, but it appears incremental as it builds on existing HPF methods with dynamics integration.
The paper tackles the problem of generating constrained paths for robots with second-order dynamics in cluttered environments using harmonic potential field (HPF) planning, showing that HPF-based controllers can suppress inertial forces effectively while maintaining kinematic features, as demonstrated through simulation results and comparisons with other approaches.
This paper demonstrates the ability of the harmonic potential field, HPF, planning method to generate a well-behaved constrained path for a robot with second order dynamics in a cluttered environment. It is shown that HPF-based controllers may be developed for holonomic as well as nonholonomic robots to effectively suppress the effect of inertial forces on the robot trajectory while maintaining all the attractive features of a purely kinematic HPF planner. The capabilities of the suggested navigation controller are demonstrated using simulation results. Comparisons are also supplied with other approaches used for converting the guidance signal from a purely kinematic HPF planner into a navigation control signal.