Papers
12
Total Citations
306
H-Index
8
About
Ali Agha is a pioneering roboticist whose research spans autonomous systems, field robotics, and space exploration, with particular expertise in robotic autonomy for extreme and unstructured environments. He is perhaps best known as a key figure behind Team CoSTAR's NeBula architecture, the autonomous robotic system that won Phase II of DARPA's prestigious Subterranean Challenge — a landmark achievement in collaborative robot autonomy. His work on NeBula, which has collectively garnered over 150 citations, introduced sophisticated algorithms enabling multi-robot teams to navigate and map hazardous subterranean environments including tunnels and urban underground spaces. Agha has also made significant contributions to planetary exploration, developing frameworks for cooperative Mars exploration using linear temporal logic and investigating robotic access to Martian lava tubes and subsurface voids as potential habitats for life. His more recent work pushes boundaries further still, encompassing the EELS snake robot designed for ocean worlds like Enceladus, and advanced machine learning approaches for high-speed off-road navigation. Across his career, Agha has consistently advanced the frontier where autonomous reasoning, resilient mobility, and real-world deployment intersect — making him an influential voice shaping the future of both terrestrial and deep-space robotics.
Research Focus
Key Achievements
Top Papers
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- 8Robotic Exploration of Planetary Subsurface Voids in Search for Life11 citations · 2019
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