Papers
10
Total Citations
291
H-Index
7
About
Abhishek Cauligi is a pioneering roboticist whose work spans autonomous navigation, mixed-integer control, and space robotics. He is best known for his central role in TEAM CoSTAR, which won the DARPA Subterranean Challenge with the NeBula autonomy solution—a landmark achievement in enabling robots to explore GPS-denied, unstructured environments like tunnels and urban ruins (105+ citations). Cauligi also made foundational contributions to real-time robot planning through his CoCo framework, which uses supervised learning to solve mixed-integer convex programs (MICPs) at speeds suitable for online control (36 citations). His research on gecko-inspired adhesives for the Astrobee free-flying robot aboard the International Space Station demonstrated how bio-inspired grippers can enable robots to grasp and manipulate objects in microgravity (33 citations). Most recently, he is advancing multi-agent autonomy for lunar exploration as part of NASA’s CADRE mission, which will deploy a team of three rovers on the Moon. With over 290 citations and a consistent focus on bridging theory and deployment, Cauligi’s work is shaping the future of autonomous systems in extreme environments—from underground caves to outer space.
Research Focus
Key Achievements
Top Papers
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- 3CoCo: Online Mixed-Integer Control Via Supervised Learning36 citations · 2021
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- 9Constraint-Informed Learning for Warm-Starting Trajectory Optimization3 citations · 2025
- 10Constraint-Informed Learning for Warm Starting Trajectory Optimization2 citations · 2023