Papers
3
Total Citations
13
H-Index
2
About
Rakesh Rajendran is a rising researcher in the field of robotics, with a specialized focus on the design, fabrication, and analysis of climbing robots. His work centers on wall climbing robots (WCRs) and mesh climbing robots (MCRs), addressing critical challenges in industrial automation. Rajendran's major contributions include a systematic investigation of payload capacities under variable adhesive forces, validated through simulation in CoppeliaSim, and a comprehensive comparative survey of three primary adhesion types—magnetic, suction, and fusion—for WCRs. This survey provides a crucial framework for selecting optimal adhesion mechanisms based on weight and payload requirements. His most cited works, each garnering 6 citations, establish a foundational understanding of design parameters for climbing robots. More recently, Rajendran has advanced the field by designing a bioinspired quadruped mesh climbing robot and employing Edge Impulse software to assess its stability, a notable achievement that bridges biomimicry with machine learning for robotic control. His research directly supports industrial applications such as non-destructive testing, painting, and surveying, demonstrating a clear path from theoretical design to practical implementation. Rajendran's work is essential reading for students and engineers seeking to innovate in climbing robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3