Recognition, prediction, and planning for assisted teleoperation of freeform tasks

Published

Conference Paper

© 2013 Massachusetts Institute of Technology. This paper presents a system for improving the intuitiveness and responsiveness of assisted robot teleoperation interfaces by combining intent prediction and motion planning. Two technical contributions are described. First, an intent predictor estimates the user's desired task, and accepts freeform tasks that include both discrete types and continuous parameters (e.g., desired target positions). Second, a cooperative motion planner uses the task estimates to generate continuously updated robot trajectories by solving optimal control problems with timevarying objective functions. The planner is designed to respond interactively to changes in the indicated task, avoid collisions in cluttered environments, and achieve high-quality motions using a hybrid of numerical and sample-based techniques. The system is applied to the problem of controlling a 6D robot manipulator using 2D mouse input in the context of two tasks: static target reaching and dynamic trajectory tracking. Simulations suggest that it enables the robot to reach static targets faster and to track trajectories more closely than comparable techniques.

Duke Authors

Cited Authors

  • Hauser, K

Published Date

  • January 1, 2013

Published In

  • Robotics: Science and Systems

Volume / Issue

  • 8 /

Start / End Page

  • 121 - 128

Electronic International Standard Serial Number (EISSN)

  • 2330-765X

International Standard Serial Number (ISSN)

  • 2330-7668

International Standard Book Number 13 (ISBN-13)

  • 9780262519687

Citation Source

  • Scopus