Ghananeel Rotithor
Papers
7
Total Citations
105
H-Index
6
About
Ghananeel Rotithor is a robotics researcher whose work sits at the intersection of human-robot collaboration, visual servoing, and safe control systems. His research focuses on developing intelligent, safety-aware frameworks that enable robots to work alongside humans in demanding manufacturing environments, addressing critical challenges in motion planning, perception-based control, and real-time intention estimation. Rotithor's most influential contribution, "Human-in-the-Loop Robot Control for Human-Robot Collaboration" (2020, 48 citations), established robust methodologies for estimating human intention and enabling safe trajectory tracking in collaborative tasks — a cornerstone achievement in the HRC field. Complementing this, his work on fusing pupil and hand motion data for intention inference demonstrates a sophisticated, multimodal approach to understanding human behavior in shared workspaces. His research on constrained image-based visual servoing using barrier functions (16 citations) and the integration of dynamic movement primitives with visual feedback (13 citations) further advances perception-driven robot control. Notably, his applied work on robotic wire harness assembly illustrates a commitment to translating theory into practical industrial automation. Across his portfolio, Rotithor consistently emphasizes safety guarantees, stability, and human-centered design — making his research particularly valuable for students and engineers seeking to build trustworthy, collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Constrained Image-Based Visual Servoing using Barrier Functions16 citations · 2021
- 3Stitching Dynamic Movement Primitives and Image-Based Visual Servo Control13 citations · 2022
- 4Robotic Wire Pinning for Wire Harness Assembly Automation10 citations · 2020
- 5Human Intention Estimation using Fusion of Pupil and Hand Motion7 citations · 2020
- 6
- 7