Serhat Demirtas

About

Serhat Demirtas is an innovative robotics researcher whose work spans human-robot collaboration, augmented reality integration, and the emerging field of morphologically intelligent robotic systems. His most recognized contribution, a 2022 study on collaborative industrial robot workspaces garnering 14 citations, introduced a practical path adaptation algorithm combined with augmented reality to enhance safe and efficient human-robot interaction in industrial settings — a timely advancement as smart manufacturing continues to evolve. More recently, Demirtas has pioneered research into modular foldable and origami-inspired robotic surfaces, exploring how a robot's physical morphology itself can serve as a form of intelligence. His work on CPG-based manipulation with multi-module origami robot surfaces addresses a longstanding challenge in robotics: reliably handling objects of varying sizes, materials, and stiffness at real-world scales. By embedding adaptability into the body structure of robots rather than relying solely on computational decision-making, Demirtas pushes the boundaries of what flexible, reconfigurable robots can achieve. Though early in establishing a broader citation record, his cross-disciplinary approach — bridging mechanical design, control theory, and human-robot interaction — positions him as a distinctive and forward-thinking voice in contemporary robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   Development and Implementation of a Collaborative Workspace for Industrial Robots Utilizing a Practical Path Adaptation Algorithm and Augmented Reality

   14 citations · 2022
2. 2
   Surface-based manipulation with modular foldable robots

   2 citations · 2026
3. 3
   CPG-Based Manipulation With Multi-Module Origami Robot Surface

   1 citations · 2025

Key Collaborators

Contact & Links