Sensor-based reactive symbolic planning in partially known environments
This paper considers the problem of completing assemblies of passive objects in nonconvex environments, cluttered with convex obstacles of unknown position, shape and size that satisfy a specific separation assumption. A differential drive robot equipped with a gripper and a LIDAR sensor, capable of...
Main Authors: | Vasilopoulos, Vasileios, Vega-Brown, William R, Arslan, Omur, Roy, Nicholas, Koditschek, Daniel E. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2020
|
Online Access: | https://hdl.handle.net/1721.1/125881 |
Similar Items
-
Sensor-Based Reactive Execution of Symbolic Rearrangement Plans by a Legged Mobile Manipulator
by: Vasilopoulos, Vasileios, et al.
Published: (2020) -
Risk-aware motion planning in partially known environments
by: Hawes, N, et al.
Published: (2022) -
A decomposed symbolic approach to reactive planning
by: Chung, Seung H. (Seung Hwa), 1975-
Published: (2013) -
Task and Motion Planning Is PSPACE-Complete
by: Vega-Brown, William R, et al.
Published: (2021) -
Admissible Abstractions for Near-optimal Task and Motion Planning
by: Vega-Brown, William R, et al.
Published: (2020)