Jianjun Luo

TL;DR: A task-priority handling strategy incorporated with a full-fledged Quadratic Programming(QP) procedure to solve the planning problem with sequential tasks and enables a rapid adaptation of the space manipulators motion, which makes this strategy feasible for real-time planning.

TL;DR: Simulations of the space robot unfolding its manipulator and tracking the end-effector’s desired trajectories with the existence of obstacles and physical limits are presented to demonstrate the effectiveness of the proposed obstacle avoidance strategy and MIPC control method of space robots.

TL;DR: An event-driven neural network–based fault-tolerant tracking control scheme is investigated for uncertain mechanical systems with performance guaranteed in the presence of unknown actuator faults and external disturbances.

TL;DR: In this paper, a novel modified θ − D control method was proposed to incorporate position, attitude and flexural motion into one unified control frame for flexible chaser spacecraft to track and rendezvous with a rotating non-cooperative target accompanied by translational maneuver.

TL;DR: Numerical results demonstrate that the computational efficiency and tracking performance accuracy are superior to existing methods and an adaptive form is capable of offsetting unknown parameters.