Madina Yergibay
Papers
1
Total Citations
8
H-Index
1
About
Madina Yergibay is pioneering the integration of event-based vision and tactile sensing for next-generation haptic interfaces. Her research centers on developing novel sensor systems that bridge the gap between physical touch and digital interaction, with a particular focus on augmented reality and teleoperation. In her most cited work, "E-BTS: Event-Based Tactile Sensor for Haptic Teleoperation in Augmented Reality" (2024, 8 citations), Yergibay introduces a groundbreaking approach that repurposes event-based cameras to detect tactile information with exceptional speed and robustness. This innovation addresses a longstanding challenge in robotics and human-computer interaction: how to capture nuanced tactile feedback without traditional, often bulky, pressure sensors. By leveraging the asynchronous, high-temporal-resolution nature of event-based vision, her sensor enables more responsive and natural haptic feedback in augmented reality environments. This work not only demonstrates a clever repurposing of existing technology but also opens new pathways for lightweight, low-latency tactile sensing in applications ranging from remote surgery to immersive virtual experiences. Yergibay’s contributions are shaping the future of how machines perceive and relay touch, making her a rising voice in the fields of tactile sensing and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1