Akshit Gandhi
Papers
1
Total Citations
3
H-Index
1
About
Akshit Gandhi is a robotics researcher whose work centers on the development of robust, rapidly-deployable autonomous aerial systems for high-stakes, real-world missions. His key research areas include mission-level resilience, multi-robot coordination, and the integration of perception and control under uncertainty. Gandhi’s major contribution lies in demonstrating how autonomous aerial vehicles can maintain operational effectiveness despite hardware degradation, environmental variability, and subtask failures—a critical advance for field deployment. As a core member of Carnegie Mellon’s Team Tartan, he contributed to the team’s success at the MBZIRC 2020 competition, where their approach to mission-level robustness was validated in a demanding, time-critical setting. His most-cited paper, *Mission-Level Robustness with Rapidly-Deployed, Autonomous Aerial Vehicles by Carnegie Mellon Team Tartan at MBZIRC 2020*, has garnered 3 citations and serves as a foundational reference for researchers designing resilient multi-agent systems. By moving beyond single-sequence mission planning, Gandhi’s work is shaping the next generation of autonomous robots capable of adapting to the unpredictable conditions of real-world operations.
Research Focus
Key Achievements
Top Papers
- 1