Extending iTaSC to support inequality constraints and non-instantaneous task specification

  • Authors:
  • Wilm Decré;Ruben Smits;Herman Bruyninckx;Joris De Schutter

  • Affiliations:
  • Department of Mechanical Engineering, Katholieke Universiteit Leuven, Belgium;Department of Mechanical Engineering, Katholieke Universiteit Leuven, Belgium;Department of Mechanical Engineering, Katholieke Universiteit Leuven, Belgium;Department of Mechanical Engineering, Katholieke Universiteit Leuven, Belgium

  • Venue:
  • ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In [1], we presented our constraint-based programming approach, iTaSC, that formulates instantaneous sensor-based robot tasks as constraint sets, and subsequently solves a corresponding least-squares problem to obtain control set points, such as desired joint velocities or joint torques. This paper further extends this approach, (i) by explicitly supporting the inclusion of inequality constraints in the task and (ii) by supporting a broader class of objective functions for translating the task constraints into robot motion. These extensions are made while retaining a tractable mathematical problem structure (a convex program). Furthermore, first results on extending the approach to non-instantaneous tasks are presented. As illustrated in the paper, the power of the approach lies (i) at its versatility to specify a wide range of robot behaviors and the ease of making task adjustments, and (ii) at its generic nature, that permits using systematic procedures to derive the underlying control equations.