A Solution to Adaptive Mobile Manipulator Throwing
Yang Liu,Aradhana Nayak,Aude Billard,Yang Liu,Aradhana Nayak,Aude Billard
Mobile manipulator throwing is a promising method to increase the flexibility and efficiency of dynamic manipulation in factories. Its major challenge is to efficiently plan a feasible throw under a wide set of task specifications. We show that the mobile manipulator throwing problem can be simplified to a planar problem, hence greatly reducing the computational costs. Using machine learning appro...
