Papers

1

Total Citations

3

H-Index

1

About

Baran Demir is a robotics researcher whose work focuses on the intersection of motion planning, trajectory generation, and human-robot interaction. His key contributions lie in developing smooth, predictable navigation systems for mobile robots operating in human-shared environments. Demir is best known for his work on the "Spline-Based Robot Trajectory Generation Using the Dynamic Window Approach," which addresses a critical limitation in conventional path planning: the inability to produce smooth, human-friendly motion when combining waypoint navigation with reactive collision avoidance. By integrating spline-based trajectories with the dynamic window approach, his research enables robots to navigate more naturally and safely alongside humans, a vital capability for collaborative and service robotics. While his citation count is still growing—with his most-cited paper garnering 3 citations—his work represents an important step toward bridging the gap between theoretical motion planning and practical, real-world deployment. Demir’s research is particularly relevant for students and engineers working on autonomous navigation, human-aware robotics, and the design of socially acceptable robot behaviors.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Spline-Based Robot Trajectory Generation Using the Dynamic Window Approach
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Fraunhofer Institute for Communication, Information Processing and Ergonomics

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago