Panagiotis Zaparas
Papers
1
Total Citations
3
H-Index
1
About
Panagiotis Zaparas is a researcher at the forefront of human-robot interaction, specializing in the integration of virtual reality (VR) and force-haptic feedback to revolutionize robotic training systems. His work focuses on creating immersive, sensorially rich environments that allow operators to train with robots more intuitively and effectively. In his most cited paper, "Leveraging VR and Force-Haptic Feedback for an Effective Training with Robots" (2024), Zaparas demonstrates how combining visual immersion with tactile force feedback can significantly enhance skill acquisition and operator confidence in complex robotic tasks. This contribution is particularly impactful for industries such as manufacturing, healthcare, and remote exploration, where safe and efficient human-robot collaboration is critical. Though early in his career, Zaparas’s work has already garnered attention, with his research laying the groundwork for more adaptive and user-centered robotic training paradigms. His innovative approach bridges the gap between virtual simulation and physical interaction, promising to reduce training costs and improve safety. As he continues to explore multimodal feedback systems, Zaparas is poised to become a key voice in shaping the future of embodied AI and human-robot teamwork.
Research Focus
Key Achievements
Top Papers
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