Publication Details
- Keywords:
- collaborative robotics
- task allocation
- task architecture
Abstract
Robot task representation typically involves a sequential set of steps. This methodology does not generalize to complex real-world tasks. Real-world tasks involve multiple paths of execution, where intra-task dependencies allow for different methods to complete the same task. Representing such complex tasks compactly poses a challenge as enumerating all possible paths results in combinatorial growth. As well, complex tasks benefit from the shared work of multiple agents. Tasks representations should provide a mechanism for multiple agents to communicate and self-organize as a team. We propose a control architecture to address these issues. The architecture 1) provides an efficient an compact encoding of complex tasks, 2) enables robots to infer what the other teamates are doing, 3) allows robots to dynamically decide which execution path to follow using an activation spreading mechanism.
Author Details
Name: | Luke Fraser | |
email: | Fraser@nevada.unr.edu | |
Phone: | 775-273-8474 | |
Status: | Active |
Name: | Banafsheh Rekabdar |
Status: | Active |
Name: | Monica Nicolescu |
Status: | Active |
Name: | Mircea Nicolescu |
Status: | Inactive |
Name: | David Feil-Seifer | |
email: | dave@cse.unr.edu | |
Website: | http://cse.unr.edu/~dave | |
Phone: | (775) 784-6469 | |
Status: | Active |
BibTex Reference
title={A Hierarchical Control Architecture for Robust and Adaptive Collaborative Robot Task Execution},
author={Luke Fraser and Banafsheh Rekabdar and Monica Nicolescu and Mircea Nicolescu and David Feil-Seifer},
year={2016},
month={June},
address={Cambridge, Massachusetts},
booktitle={Robotics: Science \& Systems: Workshop on Planning for Human-Robot Interaction: Shared Autonomy and },
}
HTML Reference
Support
Designing Collaborator Robots for Highly-Dynamic Multi-Human, Multi-Robot Teams, Office of Naval Research (ONR) PI: Monica Nicolescu, co-PI: David Feil-Seifer, Amount: $656,511, April 1, 2016 - March 31, 2019
DURIP: Humanoid Platforms for Human-Robot Collaboration, Office of Naval Research (ONR) PI: Monica Nicolescu, co-PI: David Feil-Seifer, Mircea Nicolescu, Amount: $312,000, May 1, 2014 - June 30, 2015