Papers
7
Total Citations
47
H-Index
5
About
Nagamanikandan Govindan is a robotics researcher whose work pushes the boundaries of adaptive manipulation, variable stiffness actuation, and multifunctional robotic systems. His primary research areas include variable stiffness joints, dual-arm manipulation, and novel gripper designs capable of dynamic tasks like grasping and throwing. Govindan’s most cited work, "Design of a Variable Stiffness Joint Module to Quickly Change the Stiffness and to Reduce the Power Consumption" (2020, 18 citations), addresses a critical challenge in human-robot interaction by enabling rapid stiffness modulation with reduced energy use. He further demonstrates innovation in "A Novel Hybrid Gripper Capable of Grasping and Throwing Manipulation" (2023, 7 citations), expanding robotic capabilities beyond static pick-and-place to dynamic object manipulation. His recent contributions include reinforcement learning-based control for dual-arm systems (2025, 5 citations) and learning-based control for targeted throwing with drones (2024, 5 citations). Govindan has also developed the GraspMan platform (2018, 4 citations), a hybrid robot integrating grasping, manipulation, and locomotion, and the WireFlie system (2025, 3 citations) for autonomous transmission line inspection. His work consistently bridges mechanical design and intelligent control, offering practical solutions for industrial automation, search and rescue, and infrastructure inspection.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Novel Hybrid Gripper Capable of Grasping and Throwing Manipulation7 citations · 2023
- 3
- 4
- 5
- 6
- 7