Surinder Singh
Papers
1
Total Citations
2
H-Index
1
About
Surinder Singh’s research centers on the design and control of robotic manipulators, with a particular emphasis on kinematic redundancy and safety in cluttered environments. His major contribution lies in developing task-based design methodologies that maximize safety margins for redundant manipulators—robots with extra degrees of freedom that can navigate complex, obstacle-filled spaces. By addressing the challenge of cumulative errors at the distal end of long-link manipulators, Singh’s work provides a framework for synthesizing robots that minimize collision risks while maintaining operational efficiency. His 2017 paper, “Maximizing safety margins in task-based design of redundant manipulators for cluttered environments,” has garnered 2 citations, reflecting its niche but foundational role in advancing safe robotic design. This work is notable for its practical implications in manufacturing, search-and-rescue, and medical robotics, where precise movement in tight spaces is critical. Singh’s research bridges theoretical kinematics and real-world application, offering engineers a systematic approach to balancing dexterity with safety—a key challenge in modern robotics. His contributions continue to inspire safer, more adaptable robotic systems for dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1