Roland Brockers
Papers
13
Total Citations
114
H-Index
7
About
Roland Brockers is a robotics researcher specializing in autonomous navigation, perception systems, and multi-agent robotics for extreme environments, with particular expertise in aerial and planetary robotic systems. His work spans two decades, from early contributions in stereo vision and telepresence robotics to cutting-edge developments in space exploration technology. Brockers has made significant contributions to planetary robotics, most notably through his involvement in NASA's CADRE mission — a landmark multi-agent autonomy demonstration deploying a cooperative team of lunar rovers — and advanced navigation systems for Mars rotorcraft. His research on autonomous safe landing site detection and multi-resolution elevation mapping (each cited 17 times) has directly shaped the feasibility of future Mars helicopter missions requiring fully autonomous, long-distance flight operations in hazardous terrain. Beyond planetary exploration, Brockers has advanced UAV obstacle avoidance using egocylindrical depth representations and developed Gaussian Mixture Model approaches for temporal depth fusion. His INSANE datasets have provided the research community with valuable benchmarking resources for robust localization across challenging environments. With over 100 cumulative citations, his work bridges fundamental computer vision research and real-world deployment in some of the most demanding robotic applications imaginable, from lunar surfaces to Martian skies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous Safe Landing Site Detection for a Future Mars Science Helicopter17 citations · 2021
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- 5Gaussian Mixture Models for Temporal Depth Fusion9 citations · 2017
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- 7Comprehensive data acquisition for a telepresence application7 citations · 2005
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