Projects per year
We propose a representation for the set of forces a robot can counteract using full system dynamics: the residual force polytope. Given the nominal torques required by a dynamic motion, this representation models the forces which can be sustained without interfering with that motion. The residual force polytope can be used to analyze and compare the set of admissible forces of different trajectories, but it can also be used to define metrics for solving optimization problems, such as in trajectory optimization or system design. We demonstrate how such a metric can be applied to trajectory optimization and compare it against other objective functions typically used. Our results show that the trajectories computed by optimizing objectives defined as functions of the residual force polytope are more robust to unknown external disturbances. The computational cost of these metrics is relatively high and not compatible with the short planning times required by online methods, but they are acceptable for planning motions offline.
|Number of pages||11|
|Journal||Robotics and Autonomous Systems|
|Early online date||24 May 2021|
|Publication status||Published - 1 Aug 2021|
- Trajectory optimization
- Robotic arms
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HARMONY: Enhancing Healthcare with Assistive Robotic Mobile Manipulation
Vijayakumar, S., Ivan, V., Khadem, M. & Li, Z.
1/01/21 → 30/06/24
MEMMO - Memory of Motion
1/01/18 → 30/06/22
UK Robotics and Artificial Intelligence Hub for Offshore Energy Asset Integrity Management (ORCA)
Vijayakumar, S., Mistry, M., Ramamoorthy, R. & Williams, C.
1/10/17 → 31/03/22