Papers
7
Total Citations
164
H-Index
4
About
Kyle Brown is a pioneering researcher at the intersection of planetary science, robotics, and artificial intelligence, whose work spans from the surface of Mars to the frontiers of autonomous manufacturing. His most impactful contribution is to the Mars 2020 Perseverance rover mission, where he played a key role in developing the Sampling and Caching Subsystem (SCS)—a robotic system that collects and stores Martian rock and regolith samples for potential return to Earth. This foundational work, detailed in his most-cited paper (134 citations), is critical to the search for past life on Mars. Brown also contributed to the Mars Science Laboratory (Curiosity), ensuring the cleanliness of its sample transfer chain to avoid contaminating organic detection. Beyond planetary exploration, he has advanced multi-agent pathfinding with stochastic travel times (STT-CBS) and large-scale robot assembly planning for autonomous manufacturing, while also modeling web robot behaviors to improve network efficiency. With over 160 citations across his publications, Brown’s unique blend of space robotics and intelligent systems engineering demonstrates a rare ability to solve complex, high-stakes problems across vastly different domains.
Research Focus
Key Achievements
Top Papers
- 1
- 2Organic cleanliness of the Mars Science Laboratory sample transfer chain9 citations · 2014
- 3
- 4Large-scale multi-robot assembly planning for autonomous manufacturing4 citations · 2025
- 5Contrasting Web Robot and Human Behaviors with Network Models4 citations · 2018
- 6
- 7A Soft Computing Prefetcher to Mitigate Cache Degradation by Web Robots3 citations · 2017