Papers
6
Total Citations
62
H-Index
5
About
S. Rooban is an emerging researcher whose work bridges robotics, artificial intelligence, and autonomous systems. With a focus on simulation-based robotics, swarm intelligence, and neural network hardware integration, Rooban has established a meaningful presence in the field of intelligent and autonomous systems research. Among his most recognized contributions is his work on simulating pick-and-place robotic arms using CoppeliaSim, which has garnered 21 citations and addresses the growing demands of industrial automation. His detailed review of swarm robotics, cited 11 times, provides valuable insight into the evolution of multi-robot coordination systems, particularly as technology advances toward nanoscale applications. His research on surveillance and obstacle-avoiding autonomous robots, alongside a review of backpropagation algorithms and their hardware implementations — each accumulating 10 citations — demonstrates his breadth across both physical robotic systems and the computational frameworks that drive them. More recently, Rooban has explored self-organized shape formation in swarm robots, reflecting a continued commitment to advancing collective robotic behavior. His cumulative body of work, totaling over 60 citations within just a few years, signals a productive research trajectory with practical implications for industrial automation, defense surveillance, and the future of intelligent machine systems.
Research Focus
Key Achievements
Top Papers
- 1Simulation of Pick and Place Robotic Arm using Coppeliasim21 citations · 2022
- 2A Detailed Review of Swarm Robotics and its Significance11 citations · 2022
- 3Surveillance and Obstacle Avoiding Autonomous Robot10 citations · 2021
- 4Backpropagation Algorithm and its Hardware Implementations: A Review10 citations · 2021
- 5
- 6A self-organized shape formation in swarm robots1 citations · 2023