Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Provable Reactive Navigation of Mobile Robots to a Moving Target in Unpredictable Dynamic Scenes. / Nikolaev, M. S.; Matveev, A. S.
2019 IEEE 58th Conference on Decision and Control, CDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 220-225 9029995 (Proceedings of the IEEE Conference on Decision and Control; Том 2019-December).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Provable Reactive Navigation of Mobile Robots to a Moving Target in Unpredictable Dynamic Scenes
AU - Nikolaev, M. S.
AU - Matveev, A. S.
N1 - Publisher Copyright: © 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - A speed-limited robot travels in a dynamic environment cluttered with arbitrarily shaped moving obstacles. There also is an unpredictably moving target in the scene. The robot measures the heading angle to the target and the distance to the nearest obstacle along any ray emitted from the robot. A simple reactive navigation strategy is presented that autonomously drives the robot to the target in a finite time provided that the algorithm is properly tuned. This is shown via a mathematically rigorous global convergence result under minor and partly unavoidable technical assumptions. Feasible closed-form recommendations on controller tuning are offered. Theoretical results are confirmed by computer simulation tests.
AB - A speed-limited robot travels in a dynamic environment cluttered with arbitrarily shaped moving obstacles. There also is an unpredictably moving target in the scene. The robot measures the heading angle to the target and the distance to the nearest obstacle along any ray emitted from the robot. A simple reactive navigation strategy is presented that autonomously drives the robot to the target in a finite time provided that the algorithm is properly tuned. This is shown via a mathematically rigorous global convergence result under minor and partly unavoidable technical assumptions. Feasible closed-form recommendations on controller tuning are offered. Theoretical results are confirmed by computer simulation tests.
UR - http://www.scopus.com/inward/record.url?scp=85082436690&partnerID=8YFLogxK
U2 - 10.1109/CDC40024.2019.9029995
DO - 10.1109/CDC40024.2019.9029995
M3 - Conference contribution
AN - SCOPUS:85082436690
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 220
EP - 225
BT - 2019 IEEE 58th Conference on Decision and Control, CDC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 58th IEEE Conference on Decision and Control, CDC 2019
Y2 - 11 December 2019 through 13 December 2019
ER -
ID: 98833895