2018
Path Planning and Micromanipulation Using a Learned Model
RA-L 2018
This letter presents a system for manipulating microscale objects in an obstacle prone environment using push manipulations based on a learned model. The path planning is done using a RRT* search algorithm adapted for this setup and the manipulation is done using a regression model trained on manipu