Papers

4

Total Citations

156

H-Index

4

About

Tejaswin Parthasarathy is a researcher at the intersection of robotics, biomechanics, and control theory, with a focus on understanding and replicating the remarkable adaptability of biological systems. His work centers on modeling and simulation of complex dynamic musculoskeletal architectures, where he investigates how creatures like fish, cephalopods, and snakes integrate neural control, sensory feedback, and compliant mechanics to thrive in uncertain environments. His most influential contribution, the 2019 paper "Modeling and simulation of complex dynamic musculoskeletal architectures," has garnered 102 citations, establishing a foundation for bio-inspired robotics. Parthasarathy has also advanced soft robotics through his 2020 study on energy shaping control of a CyberOctopus soft arm (36 citations), applying rigorous control methodologies to flexible, continuum structures. Earlier work includes statistical analysis of tracking errors in robotic systems and co-simulation of serial manipulators, demonstrating his breadth from theoretical foundations to practical implementation. His research is particularly notable for bridging the gap between biological embodiment and engineered control, offering insights that could lead to more resilient, adaptive robots capable of operating in dynamic, real-world environments.

Research Focus

Key Achievements

4
H-Index
4
Papers
156
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and simulation of complex dynamic musculoskeletal architectures
102 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: University of Illinois Urbana-Champaign, Netaji Subhas University of Technology, Indian Institute of Technology Madras

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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