Kumar Surjdeo Singh
Papers
2
Total Citations
5
H-Index
2
About
Kumar Surjdeo Singh is a researcher at the forefront of soft robotics, specializing in the design and intelligent control of compliant actuators for safe human-robot interaction. His work addresses the fundamental challenge of making robots adaptable to complex, unstructured environments by drawing inspiration from living organisms. Singh’s major contributions include the design of a novel soft bidirectional bending actuator, which enhances collaborative applications by providing an additional degree of freedom without increasing the number of pressure inputs. He has also pioneered a self-evolving fuzzy-based control system for soft pneumatic rotary actuators, enabling them to autonomously adapt to dynamic conditions. While his most-cited works currently have 3 and 2 citations respectively, their impact is growing as the field matures. Singh’s research is notable for bridging the gap between soft actuator design and intelligent control, laying the groundwork for more intuitive and safer robots that can work alongside humans in delicate settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Self-Evolving Fuzzy-Based Control of Soft Pneumatic Rotary Actuators2 citations · 2024