Ritesh Yadav

Galgotias University, RWTH Aachen University, Birla Institute of Technology and Science, Pilani

Papers

Total Citations

H-Index

About

Ritesh Yadav is a robotics researcher whose work bridges intelligent automation and precision manufacturing. His primary research areas include continuum robotics, industrial robot accuracy, and autonomous systems for hazardous environments. Yadav’s work on continuum arm robots addresses the challenge of controlling highly compliant, high-degree-of-freedom manipulators for unstructured real-world applications, advancing trajectory optimization for these flexible systems. In industrial robotics, he has developed neural network models to compensate for temperature-dependent joint friction, a critical factor limiting the path accuracy of robots used in machining—a contribution that supports model-based compensation techniques for enhanced precision. His applied work includes the design of an intelligent robotic firefighting system using a Raspberry Pi and ultrasonic sensors, aimed at reducing human exposure to toxic hazards like carbon monoxide. While each of his key papers has garnered 2 citations, their collective focus on practical, safety-critical and precision-oriented robotics demonstrates a commitment to solving tangible engineering challenges. Yadav’s research is particularly relevant for students and engineers interested in continuum mechanisms, sensor integration, and the intersection of machine learning with robotic control.