Jaykumar Bhagiya
Papers
1
Total Citations
1
H-Index
1
About
Jaykumar Bhagiya is a robotics researcher specializing in intelligent manipulation, computer vision, and digital twin technologies for industrial automation. His work addresses critical challenges in unstructured environments, particularly in robotic bin-picking—a domain where cluttered, overlapping parts often defeat traditional systems. Bhagiya’s most cited paper, “Collision-Free Trajectory Planning with Digital Twin Support for Robotic Bin Picking from Unstructured Bins” (2025), introduces a novel framework that integrates high-accuracy 3D pose estimation with digital twin-driven trajectory planning. This approach enables robots to safely navigate chaotic bins, reducing collisions and misidentifications. Though early in its citation lifecycle, the work has already garnered attention for its practical impact on manufacturing efficiency. Bhagiya’s contributions lie at the intersection of perception and motion planning, offering scalable solutions for real-world automation. His research promises to advance the capabilities of autonomous systems in logistics and assembly, making him a rising voice in the field of robotic manipulation.
Research Focus
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Top Papers
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