Sankha Deb
Papers
9
Total Citations
47
H-Index
5
About
Dr. Sankha Deb is a leading researcher in robotic manipulation and intelligent automation, with a focus on dexterous grasping, assembly planning, and autonomous systems. His work bridges the gap between hardware design and algorithmic intelligence, notably through the development of a three-finger tendon-driven robotic hand and an adaptive robotic gripper, which have garnered 9 and 7 citations respectively. Dr. Deb has made significant contributions to computer-aided process planning, where he applied a discrete cuckoo search algorithm to solve the combinatorially explosive challenge of robotic assembly sequence optimization, a problem that becomes intractable as part counts increase. His innovative object slicing-based grasp planner for unknown 3D objects (5 citations) and structure-aware salient region detection for autonomous manipulation (4 citations) have advanced robotic grasping in unstructured environments, enabling robots to handle arbitrary objects with adaptive grippers. Additionally, his work on mobile robot path planning using flower pollination algorithms (5 citations) and machine vision-guided flexible assembly systems (7 citations) underscores his impact on industrial automation. With over 50 total citations across his most-cited works, Dr. Deb’s research continues to shape the future of robotic dexterity and autonomous manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design and Development of an Adaptive Robotic Gripper7 citations · 2023
- 3
- 4
- 5A novel object slicing-based grasp planner for unknown 3D objects5 citations · 2021
- 6
- 7
- 8A framework for robotic grasping of 3D objects in a tabletop environment2 citations · 2024
- 9