🤖 AI Summary
To address insufficient path-tracking accuracy and stability of robotic unicycles during acceleration/deceleration and multimodal operation, this paper proposes a framework integrating piecewise path planning with dynamics-aware coordinated control. Methodologically, the path is decoupled into straight segments—governing longitudinal acceleration/deceleration—and curved segments—governing steering—wherein the curvature distribution along the latter is optimized to enhance steering responsiveness and control feasibility while respecting wheel-ground adhesion constraints (i.e., preventing slip). An integrated controller is further designed, embedding an accurate dynamic model and enabling closed-loop coordination between path planning and control execution. Simulation results demonstrate that the proposed approach significantly improves trajectory tracking accuracy, robustness, and overall system stability under complex, unstructured paths.
📝 Abstract
This article focuses on integrating path-planning and control with specializing on the unique needs of robotic unicycles. A unicycle design is presented which is capable of accelerating/breaking and carrying out a variety of maneuvers. The proposed path-planning method segments the path into straight and curved path sections dedicated for accelerating/breaking and turning maneuvers, respectively. The curvature profiles of the curved sections are optimized while considering the control performance and the slipping limits of the wheel. The performance of the proposed integrated approach is demonstrated via numerical simulations.