Robin Schregle

Technical University of Munich

Papers

1

Total Citations

2

H-Index

1

About

Robin Schregle is a robotics researcher whose work centers on human-robot interaction, intelligent automation, and adaptive lighting systems. Their most notable contribution is the design of an automated robotic system for object tracking and targeted lighting, introduced in a 2023 paper that has already garnered attention for its practical innovation. The system uses a modular robotic arm to dynamically adjust a spotlight’s orientation, providing precise illumination for tasks ranging from industrial assembly to surgical assistance. A key achievement is the system’s direct MATLAB interface, which allows researchers and engineers to easily implement custom tracking algorithms without complex hardware programming. This work bridges the gap between robotics and user-friendly control, making advanced automation accessible to a broader technical audience. Schregle’s research demonstrates a commitment to creating adaptable, real-world solutions that enhance human productivity through intelligent machine collaboration. With growing interest in their work, they are establishing themselves as a rising voice in applied robotics and human-centered automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design of an Automated Robotic System for Object Tracking and Targeted Lighting
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago