Mobile Manipulation and Mobility as Manipulation—Design and Algorithms of RoboSimian
Paul D. N. Hebert, Max Bajracharya, Jeremy Ma, Nicolas Hudson, Alper Aydemir, Jason Reid, Charles Bergh, James Borders, Matthew Frost, Michael Hagman, John Leichty, Paul Backes, Brett Kennedy, Paul Karplus, Brian Satzinger, Katie Byl, Krishna Shankar, Joel W. Burdick
- Year
- 2015
- Citations
- 130
- Access
- Open access
Abstract
This article presents the hardware design and software algorithms of RoboSimian, a statically stable quadrupedal robot capable of both dexterous manipulation and versatile mobility in difficult terrain. The robot has generalized limbs and hands capable of mobility and manipulation, along with almost fully hemispherical three‐dimensional sensing with passive stereo cameras. The system is semiautonomous, enabling low‐bandwidth, high latency control operated from a standard laptop. Because limbs are used for mobility and manipulation, a single unified mobile manipulation planner is used to generate autonomous behaviors, including walking, sitting, climbing, grasping, and manipulating. The remote operator interface is optimized to designate, parametrize, sequence, and preview behaviors, which are then executed by the robot. RoboSimian placed fifth in the DARPA Robotics Challenge Trials, demonstrating its ability to perform disaster recovery tasks in degraded human environments.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002