Siddhant Panigrahi
Papers
7
Total Citations
40
H-Index
4
About
Siddhant Panigrahi is a robotics researcher whose work spans biodiversity conservation, amphibious vehicles, and soft robotics. His most cited paper, “Real-time biodiversity analysis using deep-learning algorithms on mobile robotic platforms” (2023, 14 citations), pioneers the use of autonomous robots for ecological monitoring—a critical tool in combating global biodiversity decline. Panigrahi’s core contributions lie in developing mathematical models and control systems for submersible multi-medium UAVs, enabling seamless air-to-water transitions for applications like environmental surveillance and disaster response. His 2022 paper on this topic (9 citations) establishes a framework for cross-domain robotic mobility, while his work on all-terrain rovers (6 citations) advances autonomous navigation over uneven ground. Panigrahi also explores bioinspired design, as seen in his flapping-propulsion model for autonomous underwater vehicles (2023), and soft robotics control using self-evolving fuzzy logic (2024). His research on swarm-based exploration (2023) further demonstrates his interest in collaborative multi-robot systems. With a growing citation record and publications spanning 2022–2024, Panigrahi is establishing himself as a versatile roboticist whose work directly addresses real-world challenges in ecology, exploration, and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2Mathematical modelling and control of a submersible multi-medium UAV9 citations · 2022
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- 6Self-Evolving Fuzzy-Based Control of Soft Pneumatic Rotary Actuators2 citations · 2024
- 7