Rakesh Kumar Mahto
Papers
2
Total Citations
7
H-Index
2
About
Rakesh Kumar Mahto is a robotics researcher focused on the design, simulation, and performance optimization of industrial robotic systems. His primary research areas include robotic arm kinematics, real-time control systems, and low-cost automation solutions for manufacturing environments. Mahto’s major contributions center on developing accessible robotic arm designs with 3 degrees of freedom (DOF) for pick-and-place operations, emphasizing cost-effective local manufacturing. His work on "Performance Analysis of Robotic Arm using Simulink" (5 citations) provides critical insights into software-controlled robotic efficiency, while "Design and Real-time Simulation of Robotic Arm" (2 citations) demonstrates practical, low-cost implementation strategies. Though his citation counts are modest, Mahto’s research addresses a pressing industry need: bridging the gap between advanced robotics and affordable, locally available components. His simulations using Simulink offer reproducible frameworks for students and small-scale manufacturers to test robotic arm performance before physical deployment. By prioritizing accessibility without sacrificing functionality, Mahto’s work contributes to democratizing industrial automation, making him a valuable resource for researchers exploring cost-effective robotics solutions in developing economies.
Research Focus
Key Achievements
Top Papers
- 1Performance Analysis of Robotic Arm using Simulink5 citations · 2022
- 2Design and Real-time Simulation of Robotic Arm2 citations · 2022