Papers
4
Total Citations
27
H-Index
4
About
Prem Raj is a leading researcher in robotic manipulation, specializing in autonomous grasping and bin-picking for unstructured environments. His work tackles the fundamental challenge of enabling robots to reliably handle novel, unseen objects in dense clutter—a critical bottleneck for industrial automation and service robotics. Raj’s major contributions include developing scalable, time-efficient methods for bin-picking that are agnostic to object shape, size, color, and texture, as demonstrated in his most-cited paper (9 citations). He has pioneered robust 4-DoF table-top grasping techniques that overcome sensing and control uncertainties, and introduced a domain-independent “Disperse and Pick” strategy to improve singulation in cluttered scenes. His innovative use of category-agnostic segmentation, leveraging RGB data for enhanced generalizability, has further advanced the field. With cumulative citations exceeding 27 across his key works, Raj’s research has significant implications for logistics, manufacturing, and service robotics. His achievements include developing methods that operate without prior object knowledge, making them highly adaptable to real-world variability. For students and researchers, Raj’s work offers a compelling blueprint for creating resilient, object-agnostic robotic systems that can operate reliably in the messy, unpredictable environments of the future.
Research Focus
Key Achievements
Top Papers
- 1
- 2Towards Object Agnostic and Robust 4-DoF Table-Top Grasping8 citations · 2022
- 3Domain-Independent Disperse and Pick method for Robotic Grasping6 citations · 2022
- 4