Rishi Garg
Papers
1
Total Citations
32
H-Index
1
About
Rishi Garg is a leading researcher in field robotics, with a primary focus on autonomous exploration, multi-robot coordination, and resilient perception for aerial systems operating in complex, GPS-denied environments. His most impactful work, "Resilient Multi-Sensor Exploration of Multifarious Environments with a Team of Aerial Robots" (2022, 32 citations), introduces a groundbreaking coordinated autonomy pipeline that simultaneously tackles four critical challenges often overlooked in prior research: the effective fusion of range and vision sensing modalities, robust exploration across diverse and confined spaces, and resilient team-based navigation. This work is notable for its holistic approach, enabling aerial robot teams to autonomously map and explore challenging subterranean or industrial settings where single-sensor systems fail. Garg’s contributions have direct implications for search-and-rescue, infrastructure inspection, and environmental monitoring. With a growing citation record and a reputation for solving real-world deployment bottlenecks, his research is shaping the next generation of resilient, multi-sensor autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1