Papers
2
Total Citations
5
H-Index
2
About
T. Naga Mani Rahul is a robotics researcher focused on developing cost-effective, real-world automation solutions for agriculture and industry. His work centers on integrating embedded systems, wireless technologies, and artificial intelligence to create accessible robotic platforms. Rahul’s most cited paper, “Cost Effective Robotic System Using Arduino” (2019, 3 citations), introduces a robotic arm that employs inverse kinematics and AI-driven object tracking for pick-and-place tasks, demonstrating how low-cost microcontrollers can power intelligent automation. Building on this, his “Weed Plucking Robot with Wireless Technologies” (2022, 2 citations) addresses a critical agricultural challenge—automated weed removal—by designing a robot that reduces manual labor for farmers through wireless control and precise plucking mechanisms. Though his citation counts are modest, Rahul’s contributions are notable for their practical impact: they lower the barrier to entry for robotics in resource-constrained settings, particularly in developing regions. His work exemplifies how affordable hardware and clever algorithm design can democratize automation, making him a valuable voice in the intersection of robotics, agriculture, and sustainable technology.
Research Focus
Key Achievements
Top Papers
- 1Cost Effective Robotic System Using Arduino3 citations · 2019
- 2Weed Plucking Robot with Wireless Technologies2 citations · 2022