Jaineel Desai

University of Southern California

Papers

1

Total Citations

8

H-Index

1

About

Jaineel Desai is advancing the frontiers of robotic manipulation for advanced manufacturing, with a core focus on automating the handling of deformable materials like composite sheets. His most-cited work, "A Simulation-Based Grasp Planner for Enabling Robotic Grasping during Composite Sheet Layup" (2021, 8 citations), tackles a critical bottleneck in industries such as aerospace and automotive, where composite parts are still largely produced by manual layup. Desai’s key contribution is a novel simulation-driven grasp planner that enables robots to reliably grasp and manipulate flexible composite sheets—a notoriously difficult task due to their non-rigid, draping behavior. By developing algorithms that predict optimal grasp points and account for material deformation, his research bridges the gap between simulation and real-world robotic execution, directly addressing the dual challenges of grasping and draping on complex molds. This work lays essential groundwork for automating a labor-intensive process, promising to increase production speed and consistency while reducing human error. Desai’s research is pivotal for the future of smart manufacturing, where robots must handle increasingly complex, non-rigid materials with precision and reliability.

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