Dexterous TeleManipulation with a Multi-Touch Interface - Robotics Institute Carnegie Mellon University

Dexterous TeleManipulation with a Multi-Touch Interface

Yue Peng Toh, Shan Huang, Joy Lin, Maria Bajzek, Garth Zeglin, and Nancy S. Pollard
Conference Paper, Proceedings of IEEE-RAS 12th International Conference on Humanoid Robotics (Humanoids '12), pp. 270 - 277, November, 2012

Abstract

Robust manipulation with a dexterous robot hand is a grand challenge of robotics. Impressive levels of dexterity can be achieved through teleoperation. However, teleoperation devices such as a glove or force reflecting master-slave system can be expensive and can tie the robot down to a restricted workspace. We observe that inexpensive and widely available multi-touch interfaces can achieve excellent performance for a large range of telemanipulation tasks, making dexterous robot telemanipulation broadly accessible. Our key insight is that dexterous grasping and manipulation interactions frequently focus on precise control of the fingertips in a plane. Following this observation, our novel multi-touch interface focuses on reliable replication of planar fingertip trajectories, making previously difficult actions such as grasping, dragging, reorienting, rolling, and smoothing as intuitive as miming the action on a multi-touch surface. We demonstrate and evaluate these and other interactions using an iPad interface to a Shadow Hand mounted on a Motoman SDA10 robot.

BibTeX

@conference{Toh-2012-119872,
author = {Yue Peng Toh and Shan Huang and Joy Lin and Maria Bajzek and Garth Zeglin and Nancy S. Pollard},
title = {Dexterous TeleManipulation with a Multi-Touch Interface},
booktitle = {Proceedings of IEEE-RAS 12th International Conference on Humanoid Robotics (Humanoids '12)},
year = {2012},
month = {November},
pages = {270 - 277},
}