Ruhan Sa
Papers
1
Total Citations
2
H-Index
1
About
Ruhan Sa is a researcher whose work bridges computer vision, robotics, and intelligent control systems, with a particular focus on real-time visual servo control for mobile robots. Their most-cited paper, "A real time object tracking approach for mobile robot visual servo control" (2011), addresses a fundamental challenge in Image Based Visual Servo (IBVS) systems: the need for efficient and accurate object tracking in image sequences. Sa introduced the Modified CamShift Guided Particle Filter (MCAMSGPF), a novel tracking algorithm that significantly improves the performance of IBVS systems by enhancing tracking robustness and computational efficiency. This contribution has been recognized with 2 citations, laying groundwork for further advancements in autonomous navigation and robotic manipulation. Sa’s work is notable for its practical emphasis on real-time performance, a critical requirement for deploying robots in dynamic environments. By refining particle filter methods with CamShift guidance, Sa has contributed to making visual servo control more reliable and responsive, impacting fields such as industrial automation and service robotics. Their research continues to inspire students and engineers seeking to integrate vision-based control into mobile robotic systems.
Research Focus
Key Achievements
Top Papers
- 1