Phanindra Tallapragada

Clemson University, University of North Carolina at Charlotte

Papers

32

Total Citations

368

H-Index

12

About

Phanindra Tallapragada is a robotics and dynamical systems researcher whose work sits at the intersection of nonholonomic mechanics, bio-inspired locomotion, and fluid-robot interaction. His research has made significant contributions to understanding and controlling underactuated robotic systems, particularly aquatic robots propelled by internal rotors — a design paradigm explored in his widely cited 2015 and 2016 papers (39 and 38 citations, respectively). By drawing on classical mechanical systems like the Chaplygin sleigh, Tallapragada has developed elegant theoretical frameworks for steering and propulsion that apply broadly across terrestrial and aquatic platforms. His 2012 work on proportional heading control (34 citations) demonstrated practical steering methods for fish-like swimmers, while his 2023 paper on physics-informed reinforcement learning reflects his forward-looking integration of machine learning with principled fluid dynamics. Tallapragada has also advanced proprioceptive sensing in underwater robots, enabling them to decode hydrodynamic signatures from vortex wakes without external sensors. His explorations extend further to vibrational locomotion in bristlebots and elastic rotor dynamics, revealing a broad curiosity about how internal actuation drives motion across diverse physical systems. With over 240 cumulative citations, his work continues to shape the theoretical and applied landscape of bio-inspired robotics.

Research Focus

Key Achievements

12
H-Index
32
Papers
368
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A swimming robot with an internal rotor as a nonholonomic system
39 citations · 2015
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Clemson University, University of North Carolina at Charlotte

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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