Design and validation of two-handed multi-touch tabletop controllers for robot teleoperation

  • Authors:

  • Mark Micire;Munjal Desai;Jill L. Drury;Eric McCann;Adam Norton;Katherine M. Tsui;Holly A. Yanco

  • Affiliations:

  • University of Massachusetts Lowell, Lowell, MA, USA;University of Massachusetts Lowell, Lowell, MA, USA;The MITRE Corporation, Bedford, MA, USA;University of Massachusetts Lowell, Lowell, MA, USA;University of Massachusetts Lowell, Lowell, MA, USA;University of Massachusetts Lowell, Lowell, MA, USA;University of Massachusetts Lowell, Lowell, MA, USA

  • Venue:
  • Proceedings of the 16th international conference on Intelligent user interfaces
  • Year:
  • 2011

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Abstract

Controlling the movements of mobile robots, including driving the robot through the world and panning the robot's cameras, typically requires many physical joysticks, buttons, and switches. Operators will often employ a technique called "chording" to cope with this situation. Much like a piano player, the operator will simultaneously actuate multiple joysticks and switches with his or her hands to create a combination of complimentary movements. However, these controls are in fixed locations and unable to be reprogrammed easily. Using a Microsoft Surface multi-touch table, we have designed an interface that allows chording and simultaneous multi-handed interaction anywhere that the user wishes to place his or her hands. Taking inspiration from the biomechanics of the human hand, we have created a dynamically resizing, ergonomic, and multi-touch controller (the DREAM Controller). This paper presents the design and testing of this controller with an iRobot ATRV-JR robot.