Burak Teke

Tampere University

Papers

1

Total Citations

10

H-Index

1

About

Burak Teke’s research lies at the intersection of human-robot interaction (HRI), collaborative robotics, and real-time motion control. His most-cited work, *Real-time and Robust Collaborative Robot Motion Control with Microsoft Kinect ® v2* (2018), addresses a critical gap in manufacturing: enabling co-bots to safely and intuitively respond to human movement using affordable depth-sensing technology. By leveraging the Kinect v2 sensor, Teke developed a robust framework for real-time, markerless human tracking and robot trajectory adaptation—paving the way for more accessible, cost-effective collaborative automation. This contribution has garnered 10 citations, reflecting its practical relevance in both academic and industrial settings. Teke’s work is notable for its focus on bridging low-cost sensors with high-performance control, making HRI more scalable for small and medium enterprises. His research continues to influence the design of safer, more responsive manufacturing environments, where humans and robots work side by side without complex programming or expensive hardware. For students and researchers, Teke’s approach exemplifies how clever sensor integration can democratize advanced robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Real-time and Robust Collaborative Robot Motion Control with Microsoft Kinect ® v2
10 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Tampere University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago