InPTC: Integrated Planning and Tube-Following Control for Prescribed-Time Collision-Free Navigation of Wheeled Mobile Robots
Xiaodong Shao, Bin Zhang, Hui Zhi, José Guadalupe Romero, Bowen Fan, Qinglei Hu, David Navarro-Alarcón · IEEE/ASME Transactions on Mechatronics · 2024
In this article, we propose a novel approach, called integrated planning and tube-following Control (InPTC), for prescribed-time collision-free navigation of wheeled mobile robots in a compact convex workspace cluttered with static, sufficiently separated, and convex obstacles. A path planner with prescribed-time convergence is presented based upon Bouligand's tangent cones and time scale transformation (TST) techniques, yielding a continuous vector field that can guide the robot from almost all initial positions in the free space to the designated goal at a prescribed time, while avoiding entering the obstacle regions augmented with a safety margin. By leveraging barrier functions and TST, we further derive a tube-following controller to achieve robot trajectory tracking within a prescribed time less than the planner's settling time. This controller ensures the robot moves inside a predefined “safe tube” around the reference trajectory, where the tube radius is set to be less than the safety margin. Consequently, the robot will reach the goal location within a prescribed time while avoiding collision with any obstacles along the way. The proposed InPTC is implemented on a Mona robot operating in an arena cluttered with obstacles of various shapes. Experimental results demonstrate that InPTC not only generates smooth collision-free reference trajectories that converge to the goal location at the preassigned time of$250\, \text{ s}$(i.e., the required task completion time), but also achieves tube-following trajectory tracking with tracking accuracy higher than$0.01 \text{ m}$after the preassigned time of$150\, \text{ s}$. This enables the robot to accomplish the navigation task within the required time of$250\, \text{ s}$.