Title
Manipulation Planning And Control For Shelf Replenishment
Abstract
Manipulation planning and control are relevant building blocks of a robotic system and their tight integration is a key factor to improve robot autonomy and allows robots to perform manipulation tasks of increasing complexity, such as those needed in the in-store logistics domain. Supermarkets contain a large variety of objects to be placed on the shelf layers with specific constraints, doing this with a robot is a challenge and requires a high dexterity. However, an integration of reactive grasping control and motion planning can allow robots to perform such tasks even with grippers with limited dexterity. The main contribution of the letter is a novel method for planning manipulation tasks to be executed using a reactive control layer that provides more control modalities, i.e., slipping avoidance and controlled sliding. Experiments with a new force/tactile sensor equipping the gripper of a mobile manipulator show that the approach allows the robot to successfully perform manipulation tasks unfeasible with a standard fixed grasp.
Year
DOI
Venue
2020
10.1109/LRA.2020.2969179
IEEE ROBOTICS AND AUTOMATION LETTERS
Keywords
DocType
Volume
Motion and path planning, manipulation planning
Journal
5
Issue
ISSN
Citations 
2
2377-3766
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Marco Costanzo133.80
Simon Stelter211.38
Ciro Natale319430.24
Salvatore Pirozzi411215.28
Georg Bartels5154.44
Alexis Maldonado61499.96
Michael Beetz73784284.03