Time-Optimized Trajectory Planning for Non-Prehensile Object Transportation in 3D

Chen, Lingyun, Yu, Haoyu, Naceri, Abdeldjallil, Swikir, Abdalla, Haddadin, Sami

arXiv.org Artificial Intelligence 

Non-prehensile object transportation offers a way to enhance robotic performance in object manipulation tasks, especially with unstable objects. Effective trajectory planning requires simultaneous consideration of robot motion constraints and object stability. Here, we introduce a physical model for object stability and propose a novel trajectory planning approach for non-prehensile transportation along arbitrary straight lines in 3D space. Validation with a 7-DoF Franka Panda robot confirms improved transportation speed via tray rotation integration while ensuring object stability and robot motion constraints.

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