TY - GEN
T1 - A Collision Avoidance Strategy for Commercial Quadrotors
AU - Martínez-Ramírez, M.
AU - Trujillo-Flores, M.
AU - Shao, Xiaodong
AU - Romero, J. G.
AU - Rodríguez-Cortés, H.
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This article proposes a repulsive vector field-based collision avoidance for quadrotors performing position regulation tasks. The proposed strategy is evaluated by employing commercial drones that can be controlled through the body frame's translational velocity. The collision avoidance algorithm activates after a threshold distance between drones is exceeded. The regulation controller and collision avoidance strategy are experimentally evaluated when two drones switch their position in such a way that they cross each other close to the origin.
AB - This article proposes a repulsive vector field-based collision avoidance for quadrotors performing position regulation tasks. The proposed strategy is evaluated by employing commercial drones that can be controlled through the body frame's translational velocity. The collision avoidance algorithm activates after a threshold distance between drones is exceeded. The regulation controller and collision avoidance strategy are experimentally evaluated when two drones switch their position in such a way that they cross each other close to the origin.
UR - https://www.scopus.com/pages/publications/105007598768
U2 - 10.1109/ICUAS65942.2025.11007836
DO - 10.1109/ICUAS65942.2025.11007836
M3 - 会议稿件
AN - SCOPUS:105007598768
T3 - 2025 International Conference on Unmanned Aircraft Systems, ICUAS 2025
SP - 988
EP - 993
BT - 2025 International Conference on Unmanned Aircraft Systems, ICUAS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 International Conference on Unmanned Aircraft Systems, ICUAS 2025
Y2 - 14 May 2025 through 17 May 2025
ER -