Nimish Deogaonkar

University of Southern California

Papers

1

Total Citations

8

H-Index

1

About

Nimish Deogaonkar is a robotics researcher whose work lies at the intersection of automated manufacturing and intelligent manipulation, with a primary focus on enabling robots to handle deformable materials. His key research areas include robotic grasping, simulation-based planning, and composite material handling. Deogaonkar’s major contribution is his development of a simulation-based grasp planner specifically designed for the challenging task of robotic grasping during composite sheet layup—a process critical to aerospace and automotive manufacturing. His work addresses the difficulty of automating the handling of flexible, non-rigid materials, proposing a method that allows robots to reliably grasp and manipulate composite sheets. This research has garnered attention, with his most-cited paper accumulating 8 citations, signaling its relevance to the growing field of deformable object manipulation. By tackling the bottleneck of manual composite layup, Deogaonkar’s work not only advances robotic dexterity but also holds promise for increasing efficiency and precision in high-value manufacturing industries.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Simulation-Based Grasp Planner for Enabling Robotic Grasping during Composite Sheet Layup
8 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Southern California

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago