Vipul Sanap

Papers

Total Citations

H-Index

About

Vipul Sanap is a roboticist advancing the frontier of autonomous manipulation, with a core focus on **robotic grasping, object singulation, and clutter removal**. His research tackles one of robotics' most persistent challenges: enabling robots to reliably pick a diverse range of previously unseen objects from messy, real-world piles. Sanap’s major contributions include developing **robust, domain-independent methods** that overcome the inherent uncertainty in sensing and control. His "Towards Object Agnostic and Robust 4-DoF Table-Top Grasping" (8 citations) introduces a fully automated pipeline for stable, collision-free grasping of novel objects in clutter. Complementing this, his "Domain-Independent Disperse and Pick method" (6 citations) directly addresses the failure of traditional segmentation in occluded environments by first physically singulating objects before picking. This work is notable for its **practical, agnostic approach**—avoiding object-specific models to achieve real-world robustness. With a growing citation footprint, Sanap is making a tangible impact on industrial automation and service robotics, where reliable picking from bins and tables remains a critical bottleneck. His research is essential reading for anyone working on **grasping in unstructured environments**.