Vignesh Sushrutha Raghavan

Italian Institute of Technology, University of Pisa

Papers

7

Total Citations

124

H-Index

7

About

Vignesh Sushrutha Raghavan is a leading researcher in autonomous robotic navigation, specializing in hybrid legged-wheeled locomotion and terrain perception for unstructured environments. His work centers on enabling robots to traverse complex, cluttered, and uneven terrains through advanced planning and state estimation. Raghavan’s major contributions include developing terrain segmentation and roughness estimation algorithms using only RGB data, which have been cited 34 times and are critical for path planning in unknown environments. He pioneered footstep planning for bipedal robots using curved contact patches (27 citations) and created reconfigurable navigation planners for the CENTAURO robot, allowing it to agilely negotiate obstacles and narrow spaces through variable leg configurations. His research on low-drift state estimation for humanoid locomotion, fusing LiDAR with kinematic-inertial data (13 citations), addresses the challenge of accurate mapping in disaster scenarios. With over 124 total citations across his most-cited works, Raghavan has significantly advanced the field of hybrid locomotion, demonstrating how legged-wheeled robots can autonomously cross obstacles and adapt their footprint for enhanced mobility. His work on the CENTAURO platform showcases practical applications in search-and-rescue and industrial inspection, making him a key figure in modern robotics research.

Research Focus

Key Achievements

7
H-Index
7
Papers
124
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Terrain Segmentation and Roughness Estimation using RGB Data: Path Planning Application on the CENTAURO Robot
34 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Italian Institute of Technology, University of Pisa

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago