R V Bakkara

Papers

Total Citations

H-Index

About

R V Bakkara is a robotics and automation researcher whose work bridges mechanical design, computer vision, and intelligent control systems. Their most cited paper, "Automated pneumatic vacuum suction robotic arm with computer vision" (2020, 3 citations), demonstrates a practical, low-cost approach to industrial automation by integrating a 4-degree-of-freedom acrylic robotic arm with a pneumatic suction system and real-time image processing. This contribution addresses key challenges in pick-and-place operations, showing how computer vision can guide robotic manipulation without expensive sensors. Bakkara’s research is notable for its emphasis on accessible, modular designs that make automation more feasible for small-scale manufacturing and educational settings. By combining mechanical fabrication with algorithmic coordinate extraction, their work exemplifies how interdisciplinary engineering can solve real-world problems. Though early in their citation impact, Bakkara’s focus on vision-guided pneumatic robotics positions them as a promising contributor to the fields of mechatronics and intelligent manufacturing, with potential for broader influence as automation continues to democratize.