A Harmonic Potential Field Approach for Joint Planning & Control of a Rigid, Separable Nonholonomic, Mobile Robot

TL;DR

This paper introduces a harmonic potential field (HPF) based method for real-time path planning and control of nonholonomic mobile robots, ensuring provably correct, smooth, and robust trajectories in cluttered environments.

Contribution

The paper presents a novel HPF approach that integrates path planning and control at the servo level for nonholonomic robots, with formal proofs and simulation validation.

Findings

Generates well-behaved, constrained trajectories in cluttered environments

Robust control signals effective despite actuator noise and uncertainties

Proves correctness of the integrated planning and control scheme

Abstract

The main objective of this paper is to provide a tool for performing path planning at the servo level of a mobile robot. The ability to perform, in a provably correct manner, such a complex task at the servo level can lead to a large increase in the speed of operation, low energy consumption and high quality of response. Planning has been traditionally limited to the high level controller of a robot. The guidance velocity signal from this stage is usually converted to a control signal using what is known as an electronic speed controller (ESC). This paper demonstrates the ability of the harmonic potential field (HPF) approach to generate a provably correct, constrained, well behaved trajectory and control signal for a rigid, nonholonomic robot in a stationary, cluttered environment. It is shown that the HPF based, servo level planner can address a large number of challenges facing planning in a realistic situation. The suggested approach migrates the rich and provably correct properties of the solution trajectories from an HPF planner to those of the robot. This is achieved using a synchronizing control signal whose aim is to align the velocity of the robot in its local coordinates, with that of the gradient of the HPF. The link between the two is made possible by representing the robot using what the paper terms separable form. The context-sensitive and goal-oriented control signal used to steer the robot is demonstrated to be well behaved and robust in the presence of actuator noise, saturation and uncertainty in the parameters. The approach is developed, proofs of correctness are provided and the capabilities of the scheme are demonstrated using simulation results.