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Collaborative Sampling Using Heterogeneous Marine Robots Driven by Visual Cues.

, , , , and . CRV, page 87-94. IEEE Computer Society, (2017)

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Reinforcement Learning with Non-uniform State Representations for Adaptive Search., , and . CoRR, (2019)An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles., , , , , , and . CoRR, (2021)Combined Routing and Scheduling of Heterogeneous Transport and Service Agents., , , , and . IROS, page 1466-1472. IEEE, (2021)MARLAS: Multi Agent Reinforcement Learning for Cooperated Adaptive Sampling., , and . DARS, volume 28 of Springer Proceedings in Advanced Robotics, page 347-362. Springer, (2022)Efficient Terrain Driven Coral Coverage Using Gaussian Processes for Mosaic Synthesis., , , and . CRV, page 448-455. IEEE Computer Society, (2016)Using Gait Change for Terrain Sensing by Robots., , and . CRV, page 16-22. IEEE Computer Society, (2013)Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields., , , , and . CoRR, (2018)Autonomous gait selection for energy efficient walking., and . ICRA, page 5155-5162. IEEE, (2015)Data-driven selective sampling for marine vehicles using multi-scale paths., and . IROS, page 6111-6117. IEEE, (2017)Multi-robot Scheduling for Environmental Monitoring as a Team Orienteering Problem., , , and . IROS, page 6398-6404. IEEE, (2021)