Sreekanth Makkal Mohandas
Papers
5
Total Citations
22
H-Index
3
About
Sreekanth Makkal Mohandas is a robotics researcher whose work spans autonomous navigation, sensor design, and human-robot interaction. His key research areas include position and depth estimation for autonomous robots, collision detection in robotic manipulators, and the development of simulation environments for specialized inspection tasks. His most cited work (9 citations) presents a hybrid approach combining human intervention with error correction for position and depth estimation, addressing a fundamental challenge in enabling robots to visualize and interact with alien environments. He has also designed a highly sensitive joint torque sensor (5 citations) that improves collision detection and safe operation in robotic manipulators, contributing to the growing demand for responsive safety systems in industrial robotics. Beyond these core contributions, Mohandas has developed a ROS-based simulation environment for power line inspection robots, optimized chassis designs for mobile robots in supermarket applications, and explored haptic solutions for agricultural robotics. His work demonstrates a practical, application-driven approach to robotics, with particular emphasis on enhancing robot perception, safety, and usability across diverse domains from infrastructure inspection to service robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Haptic Solutions for Agriculture2 citations · 2018