Shravan Tata Ramalingasetty

École Polytechnique Fédérale de Lausanne

Papers

1

Total Citations

15

H-Index

1

About

Shravan Tata Ramalingasetty is a leading researcher at the intersection of computational neuroscience, biomechanics, and robotics, with a core focus on understanding and replicating animal locomotion. His most prominent contribution is the development of **FARMS (Framework for Animal and Robot Modeling and Simulation)** , a landmark open-source platform that bridges the gap between biological neuromechanics and robotic control. This framework allows researchers to build and simulate realistic, full-body models of animals—from mice to horses—integrating muscle dynamics, spinal circuits, and sensory feedback. By providing a standardized, modular environment, FARMS has become an essential tool for studying how neural circuits coordinate complex movements, enabling breakthroughs in both fundamental biology and the design of agile, animal-like robots. The work, published in 2023 and already accumulating 15 citations, is notable for its potential to accelerate research in rehabilitation robotics and prosthetics. Ramalingasetty’s research is characterized by its interdisciplinary ambition, combining high-fidelity biological modeling with practical engineering tools, making him a key figure in the quest to decode the neural control of movement.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
FARMS: Framework for Animal and Robot Modeling and Simulation
15 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: École Polytechnique Fédérale de Lausanne

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 21 days ago