Animesh Chakarvarthy

The University of Texas at Arlington

Papers

1

Total Citations

36

H-Index

1

About

Animesh Chakarvarthy is a leading researcher in bio-inspired robotics and intelligent control systems, with a focus on soft and hybrid actuation for autonomous underwater vehicles. His most cited work, "Cooperative Collision Avoidance Control of Servo/IPMC Driven Robotic Fish With Back-Relaxation Effect" (2021, 36 citations), introduces a novel collision avoidance strategy for a robotic fish propelled by a dual-actuator tail combining a servo motor and an ionic polymer-metal composite (IPMC). This work is notable for addressing the back-relaxation effect—a key challenge in soft actuators—and demonstrates how solid and soft actuators can cooperate for precise, adaptive motion. Chakarvarthy’s contributions bridge the gap between traditional robotics and soft robotics, offering new pathways for safer, more agile underwater swarms. His research has significant implications for marine exploration, environmental monitoring, and autonomous navigation in cluttered environments. With a growing citation impact and a reputation for pioneering hybrid actuation systems, Chakarvarthy is shaping the future of bio-inspired autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
36
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative Collision Avoidance Control of Servo/IPMC Driven Robotic Fish With Back-Relaxation Effect
36 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: The University of Texas at Arlington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago