2024
ResiVis: A Holistic Underwater Motion Planning Approach for Robust Active Perception Under Uncertainties
Marios Xanthidis, Martin Skaldebø, Bent Oddvar A. Haugaløkken, Linn Danielsen Evjemo, Kostas Alexis, Eleni Kelasidi
RA-L 2024
Motion planning for autonomous active perception in cluttered environments remains a challenging problem, requiring real-time solutions that both maximize safety and achieve a desired behavior. In dynamic underwater environments, such as in aquaculture operations, the robots are additionally expecte