Kiran Prakash
Papers
1
Total Citations
19
H-Index
1
About
Kiran Prakash is a roboticist whose work bridges adaptive control and intelligent manipulation, enabling robots to grasp unfamiliar objects with minimal human input. His most cited paper, "An Adaptive Control-Based Approach for 1-Click Gripping of Novel Objects Using a Robotic Manipulator" (2018, 19 citations), introduces a breakthrough method that allows a robotic gripper to securely handle objects of unknown geometry using only a single click. By combining object-geometry-free modeling with real-time feedback from interaction forces and slip velocity, Prakash’s adaptive control algorithm eliminates the need for pre-programmed grasp strategies. This work has direct implications for industrial automation, assistive robotics, and autonomous systems operating in unstructured environments. Prakash’s contributions demonstrate how intelligent control can simplify complex manipulation tasks, making robotic grasping more accessible and reliable. With a focus on practical, real-world deployment, his research continues to push the boundaries of adaptive robotics—offering a glimpse into a future where robots can intuitively handle the unpredictable variety of objects they encounter.
Research Focus
Key Achievements
Top Papers
- 1