Papers
1
Total Citations
2
H-Index
1
About
AK Deb is a robotics researcher whose work centers on advancing autonomous manipulation, particularly through novel approaches to robotic grasping and underactuated gripper design. His most cited paper, "A novel object slicing based grasp planner for 3D object grasping using underactuated robot gripper" (2019), tackles the persistent challenge of enabling robots to grasp arbitrary objects in known environments—a problem that traditional fingertip-focused algorithms have struggled to solve, especially for adaptive or wrapping grasps. By introducing an object-slicing technique, Deb’s work provides a more robust planning framework that leverages the mechanical compliance of underactuated grippers, improving grasp success rates for complex geometries. While his citation count is modest at 2, this contribution addresses a critical gap in robotic dexterity, offering practical insights for researchers in manipulation and automation. Deb’s focus on underactuated systems highlights a shift toward simpler, more adaptive hardware solutions, making his research relevant for students and engineers exploring cost-effective robotic hands. His work underscores the importance of bridging planning algorithms with mechanical design to achieve reliable, real-world grasping.
Research Focus
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Top Papers
- 1