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About

Bernardo Martinez Rocamora is a robotics researcher whose work spans space exploration, autonomous navigation, and surgical applications. His primary research focuses on multi-robot coordination and autonomous systems for extreme environments, with major contributions to lunar resource utilization and real-time obstacle avoidance. His most impactful work, "Multi-robot cooperation for lunar In-Situ resource utilization" (25 citations), developed cooperative strategies for searching, excavating, and transporting minerals on the Moon as part of NASA's Space Robotics Challenge Phase 2. This achievement demonstrates his ability to tackle complex, real-world challenges in space robotics. Rocamora has also advanced autonomous navigation in cluttered terrestrial environments, introducing a sensor-space lattice planner that enables millisecond-level path computation for forest and urban settings—a breakthrough for real-time obstacle avoidance. His work on wind-aware path optimization for Venusian aerobots using genetic algorithms further showcases his versatility. With a total of over 50 citations across his publications, Rocamora’s research bridges the gap between theoretical robotics and practical deployment in hazardous, unstructured environments, making him a notable figure in field and space robotics.