Pratik Samant
Papers
1
Total Citations
4
H-Index
1
About
Pratik Samant is a robotics researcher whose work sits at the intersection of computer vision, autonomous manipulation, and Industry 4.0. His primary focus is on enabling robots to perceive and interact with challenging, transparent materials—a notoriously difficult problem in industrial automation. His most-cited paper, "Vision-based manipulation of transparent plastic bags in industrial setups" (2025, 4 citations), introduces a novel approach for autonomous cutting and unpacking of transparent plastic bags. This work directly addresses a critical bottleneck in logistics and manufacturing: the reliable handling of non-rigid, visually ambiguous objects. By developing robust vision algorithms that overcome the limitations of standard depth sensors on clear surfaces, Samant’s research paves the way for more flexible, data-driven robotic systems. His contributions are particularly relevant to the Industry 4.0 paradigm, where connectivity and automation are paramount. Though early in his career, Samant’s targeted work on a specific, high-impact industrial challenge signals a promising trajectory. For students and researchers interested in the practical intersection of perception and manipulation, his research offers a clear blueprint for tackling real-world robotic grasping problems.
Research Focus
Key Achievements
Top Papers
- 1