Papers
26
Total Citations
531
H-Index
14
About
Naresh Marturi is a robotics researcher whose work spans robotic manipulation, computer vision, and autonomous systems, with particular emphasis on enabling robots to operate effectively in complex, real-world environments. His most influential contributions address the challenge of dynamic grasping — developing frameworks that allow robot arms to plan and execute grasps on moving objects in human-robot collaborative settings, a paper that has garnered over 100 citations. Alongside this, Marturi has made significant strides in model-free grasping using Local Contact Moment matching and in establishing standardized benchmarking protocols for grasp planning algorithms, helping bring greater rigor to a rapidly expanding field. His research extends into high-stakes applications: his widely cited work on advanced robotics for nuclear decommissioning (83 citations) demonstrates a commitment to deploying autonomous and teleoperated systems in hazardous environments where human presence is dangerous. He has also explored vision-based robot configuration estimation, mobile manipulator path planning, human-robot object handover, and emerging applications such as battery testing automation and robotic nut unfastening. Together, these contributions position Marturi as a versatile and practically motivated researcher whose work bridges fundamental manipulation science with urgent industrial challenges.
Research Focus
Key Achievements
Top Papers
- 1Dynamic grasp and trajectory planning for moving objects102 citations · 2018
- 2
- 3Model-free and learning-free grasping by Local Contact Moment matching42 citations · 2018
- 4Benchmarking Protocol for Grasp Planning Algorithms41 citations · 2019
- 5
- 6
- 7Integration of the humanoid robot Nao inside a smart home : a case study20 citations · 2010
- 8Towards robotizing the processes of testing lithium-ion batteries19 citations · 2021
- 9Nut Unfastening by Robotic Surface Exploration19 citations · 2021
- 10