Nishant Elkunchwar

University of Washington

Papers

1

Total Citations

10

H-Index

1

About

Nishant Elkunchwar is a robotics researcher whose work bridges bio-inspired autonomy and micro-aerial vehicle design. His key research areas include source-seeking algorithms, obstacle avoidance, and the development of palm-sized drones capable of intelligent navigation. Elkunchwar’s most notable contribution is his 2022 paper, "Bio-inspired source seeking and obstacle avoidance on a palm-sized drone," which has garnered 10 citations. This work demonstrates how small-form-factor UAVs—equipped with holonomic maneuverability and custom sensors—can autonomously locate environmental sources (e.g., gas leaks or signals) while avoiding obstacles, drawing inspiration from biological behaviors like moth pheromone tracking. The study is significant for its practical integration of lightweight sensing and control on a platform that can operate in cluttered, GPS-denied spaces. By proving that palm-sized drones can perform complex tasks previously limited to larger robots, Elkunchwar has advanced the frontier of autonomous micro-drones for search-and-rescue, environmental monitoring, and industrial inspection. His work highlights the potential of bio-inspired strategies to overcome size and power constraints, making him a rising voice in the field of small-scale robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Bio-inspired source seeking and obstacle avoidance on a palm-sized drone
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Washington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago