In this paper, we propose a novel and alternative approach to the task of generating trajectories for an articulated robot with dynamic constraints. We demonstrate that by focusing the effort on the generation process, the design of a trajectory controller becomes a straightforward problem. Our method is efficient and particularly suited for applications involving high-DOF articulated systems such as robotics arms or legs. We claim that our algorithm can be easily implemented by roboticists that do not share a deep background in control theory. Nevertheless, the resulting trajectories ensure a robust state-of-the-art control performance. We show, in simulation and practice, that the approach is well prepared for integration with graph-based planning techniques and yields smooth trajectories. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Spirig, M., Kaestner, R., Vasquez, D., & Siegwart, R. (2010). Trajectory generation and control for a high-DOF articulated robot with dynamic constraints. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6359 LNAI, pp. 382–391). https://doi.org/10.1007/978-3-642-16111-7_44
Mendeley helps you to discover research relevant for your work.