Frank Mascarich
Papers
34
Total Citations
1,676
H-Index
21
About
Frank Mascarich is a robotics researcher whose work centers on autonomous exploration, navigation, and mapping in subterranean environments — one of the most demanding frontiers in field robotics. His contributions have been pivotal in developing path planning algorithms and multi-modal sensing systems that enable aerial and legged robots to operate reliably in GPS-denied, visually degraded underground settings such as mines and tunnels. Mascarich's graph-based exploration planning frameworks, introduced between 2019 and 2020, have collectively garnered over 400 citations, establishing him as a key figure in subterranean autonomy research. His most celebrated achievement is his integral role in Team CERBERUS, the winning team of the prestigious DARPA Subterranean Challenge — a landmark competition that pushed the boundaries of multi-robot autonomous systems. The associated publications have accumulated nearly 450 citations combined, reflecting their outsized influence on the field. Beyond planning, Mascarich has made significant strides in resilient pose estimation through complementary multi-modal sensor fusion, ensuring robot reliability even when individual sensors fail. His early work on autonomous inspection path planning and underground mine rescue applications demonstrates a consistent commitment to translating research into real-world impact, particularly in safety-critical scenarios where robotic systems can save lives.
Research Focus
Key Achievements
Top Papers
- 1
- 2CERBERUS in the DARPA Subterranean Challenge225 citations · 2022
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- 6Autonomous Navigation and Mapping in Underground Mines Using Aerial Robots83 citations · 2019
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- 9Autonomous Search for Underground Mine Rescue Using Aerial Robots57 citations · 2020
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