University of Oulu

Nilles, A. Q., Ren, Y., Becerra, I., & LaValle, S. M. (2021). A visibility-based approach to computing non-deterministic bouncing strategies. In The International Journal of Robotics Research (Vol. 40, Issues 10–11, pp. 1196–1211). SAGE Publications. https://doi.org/10.1177/0278364921992788

A visibility-based approach to computing non-deterministic bouncing strategies

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Author: Nilles, Alexandra Q.1; Ren, Yingying1; Becerra, Israel1;
Organizations: 1Department of Computer Science University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA
2Faculty of Information Technology and Electrical Engineering University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2021102752475
Language: English
Published: SAGE Publications, 2021
Publish Date: 2021-10-27
Description:

Abstract

Inspired by motion patterns of some commercially available mobile robots, we investigate the power of robots that move forward in straight lines until colliding with an environment boundary, at which point they can rotate in place and move forward again; we visualize this as the robot “bouncing” off boundaries. We define bounce rules governing how the robot should reorient after reaching a boundary, such as reorienting relative to its heading prior to collision, or relative to the normal of the boundary. We then generate plans as sequences of rules, using the bounce visibility graph generated from a polygonal environment definition, while assuming we have unavoidable non-determinism in our actuation. Our planner can be queried to determine the feasibility of tasks such as reaching goal sets and patrolling (repeatedly visiting a sequence of goals). If the task is found feasible, the planner provides a sequence of non-deterministic interaction rules, which also provide information on how precisely the robot must execute the plan to succeed. We also show how to compute stable cyclic trajectories and use these to limit uncertainty in the robot’s position.

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Series: International journal of robotics research
ISSN: 0278-3649
ISSN-E: 1741-3176
ISSN-L: 0278-3649
Volume: 40
Issue: 10-11; SI
Pages: 1196 - 1211
DOI: 10.1177/0278364921992788
OADOI: https://oadoi.org/10.1177/0278364921992788
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
113 Computer and information sciences
Subjects:
Copyright information: © SAGE Publications 2021.