Sensor-Based Reactive Execution of Symbolic Rearrangement Plans by a Legged Mobile Manipulator
Name
vasilopoulos2018sensor_b.pdf
Description
Accepted version
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1.57 MB
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Adobe PDF
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Author(s) • • • •
Vasilopoulos, Vasileios
Topping, T. Turner
Vega-Brown, William R
Roy, Nicholas
Koditschek, Daniel E.
Date Issued
January 2019
Journal
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Vasilopoulos, Vasileios et al. "Sensor-Based Reactive Execution of Symbolic Rearrangement Plans by a Legged Mobile Manipulator." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2018, Madrid, Spain, Institute of Electrical and Electronics Engineers (IEEE), 2019.
Version
Author's final manuscript
Abstract
We demonstrate the physical rearrangement of wheeled stools in a moderately cluttered indoor environment by a quadrupedal robot that autonomously achieves a user's desired configuration. The robot's behaviors are planned and executed by a three layer hierarchical architecture consisting of: an offline symbolic task and motion planner; a reactive layer that tracks the reference output of the deliberative layer and avoids unanticipated obstacles sensed online; and a gait layer that realizes the abstract unicycle commands from the reactive module through appropriately coordinated joint level torque feedback loops. This work also extends prior formal results about the reactive layer to a broad class of nonconvex obstacles. Our design is verified both by formal proofs as well as empirical demonstration of various assembly tasks. Keywords: Task analysis; Grippers; Robot sensing systems; Robot kinematics; Mobile robots; Manipulators.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/iros.2018.8594342