Papers
8
Total Citations
160
H-Index
6
About
Kamal Sharma is a robotics researcher whose work spans human-robot interaction, force-controlled assembly, brain-computer interfaces, and intelligent robotic manipulation. With over 160 citations across his published work, Sharma has established himself as a versatile contributor to both foundational and applied robotics challenges. Sharma's earliest and most recognized contributions address the classic Peg-In-Hole assembly problem, developing environment-independent search strategies and convex optimization techniques to enable precise robotic assembly with minimal prior environmental knowledge. Alongside this, his work on gesture-based telemanipulation using the affordable Kinect camera offered a practical alternative to expensive master devices for controlling industrial robots in hazardous settings. A distinctive thread in Sharma's research is expanding the ways humans can intuitively control robots. His investigations into electrooculography (EOG)-based eye movement detection and SSVEP-driven brain-computer interfaces demonstrate a commitment to accessible, non-invasive robotic control — work with clear implications for assistive technology. His portrait-drawing robot further reflects an interest in human-like robotic behavior. More recently, Sharma has directed attention toward welding quality enhancement through vision-based seam tracking systems. Across these diverse contributions, his research consistently bridges intelligent control, human-machine symbiosis, and real-world industrial application.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Intelligent and environment-independent Peg-In-Hole search strategies31 citations · 2013
- 4A force-controlled portrait drawing robot19 citations · 2015
- 5Peg-In-Hole search using convex optimization techniques18 citations · 2017
- 6
- 7Continuous and Spontaneous speed control of a robotic arm using SSVEP6 citations · 2021
- 8