Muhammed Khan
Papers
1
Total Citations
3
H-Index
1
About
Muhammed Khan’s research centers on the control and navigation of hyper-redundant robot (HRR) manipulators—highly flexible robotic arms designed to maneuver through complex, confined spaces. His most cited work, “Collision Free Control of Variable Length Hyper Redundant Robot Manipulator” (2014, 3 citations), addresses a fundamental challenge in robotics: simplifying the control of these intricate systems. By proposing an efficient, obstacle-avoidance algorithm, Khan demonstrates how to navigate convoluted paths without the computational burden typical of redundant manipulators. This contribution is particularly valuable for applications in search-and-rescue, medical surgery, and industrial inspection, where precision and adaptability are critical. Though his citation count is modest, the work’s focus on practical, scalable solutions underscores its potential for future impact. Khan’s research bridges theoretical robotics with real-world utility, offering a streamlined approach to controlling highly articulated systems. His efforts highlight the importance of developing accessible algorithms for complex robotic platforms, making him a notable figure in the field of hyper-redundant manipulator control.
Research Focus
Key Achievements
Top Papers
- 1