Contact Modeling and Hardware for In-Hand Perception and Slip-Aware Object Manipulation
Licentiate thesis, 2024
The robotic gripper interacts with objects through the contact surface between its fingers and the object. In this work, we explore and model the friction that occurs at this interface. During planar motion, where both tangential and angular velocities are present, a coupling arises between the tangential and torsional friction forces. We propose planar friction models based on the LuGre model, which captures this coupling using limit surface theory. Two friction models are introduced: a distributed planar friction model that discretizes the contact surface as a baseline, and a faster, numerically efficient model that leverages a pre-computed limit surface.
Slip-aware in-hand manipulation has not yet reached the maturity required for commercialization and readily available hardware. To address this, we designed a custom parallel gripper specifically for fast, closed-loop force control. The gripper is equipped with force-torque sensors and custom relative velocity sensors based on optical mouse technology. This hardware combination enables slip-aware manipulation using only in-hand perception. We demonstrate friction and contact property estimation from an exploration phase, along with four distinct slip-aware controllers. The four slip controllers include trajectory-following for gravity-assisted linear and rotational slippage, hinge control, and slip avoidance.
In-hand manipulation
Hard- ware
Friction modelling
Contact modelling
Perception
Sensors
Robot manipulation
Author
Gabriel Arslan Waltersson
Chalmers, Electrical Engineering, Systems and control
Planar Friction Modelling with LuGre Dynamics and Limit Surfaces
IEEE Transactions on Robotics,;Vol. 40(2024)p. 3166-3180
Journal article
Gabriel Arslan Waltersson, Yiannis Karayiannidis. Perception, Control and Hardware for In-Hand Slip-Aware Object Manipulation with Parallel Grippers
Subject Categories
Robotics
Publisher
Chalmers
SB-H3, Sven Hultins Gata 6, Chalmers.
Opponent: Assoc. Prof. Christian Smith, Division of Robotics, Perception and Learning, KTH - Royal Institute of Technology