Yunus Bicer
Papers
3
Total Citations
9
H-Index
2
About
Yunus Bicer is a rising researcher in the field of human-robot interaction, with a focused expertise on enabling seamless and intuitive physical collaboration between humans and robots. His primary research areas center on human-robot handovers, trajectory prediction, and real-time perception systems. Bicer’s major contributions lie in developing computational models that allow robots to anticipate human movement, mirroring the natural, fluid coordination observed in human-to-human object exchanges. Notably, he has leveraged Gaussian processes and the concept of submovements to predict human handover trajectories, enabling robots to initiate early, smooth movements that reduce hesitation and improve interaction quality. His work on real-time object localization using low-cost RGB cameras further enhances the practicality of these systems. While his most-cited papers (garnering 4, 3, and 2 citations respectively) are recent, they represent foundational steps toward more intuitive and efficient human-robot collaboration. Bicer’s research is particularly significant for applications in manufacturing, assistive robotics, and collaborative environments where seamless physical interaction is critical.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Real-Time Object Localization for Human-Robot Handover2 citations · 2023