Chetan Bansal
Papers
1
Total Citations
10
H-Index
1
About
Chetan Bansal is a researcher whose work sits at the intersection of robotics, computer vision, and automation. His most cited paper, "A Review of Pick and Place Operation Using Computer Vision and ROS" (2021), has garnered 10 citations, establishing a foundational reference for integrating vision-guided manipulation with the Robot Operating System (ROS). This review systematically analyzes the challenges and solutions in automating pick-and-place tasks—critical for manufacturing, logistics, and service robotics—by synthesizing advances in object detection, pose estimation, and trajectory planning. Bansal’s contribution lies in providing a clear, accessible roadmap for researchers and engineers seeking to deploy robust, vision-based robotic systems. Beyond this key work, his research explores the synergy between perception algorithms and real-time control, aiming to make robotic automation more adaptive and reliable. With a focus on bridging theory and practical implementation, Bansal’s work supports the growing demand for intelligent, flexible automation in industry and academia alike.
Research Focus
Key Achievements
Top Papers
- 1A Review of Pick and Place Operation Using Computer Vision and ROS10 citations · 2021