Felix Lange

Papers

2

Total Citations

7

H-Index

2

About

Felix Lange’s research lies at the intersection of robotics, automation, and intelligent motion control, with a particular emphasis on trajectory planning for industrial systems. His most cited work, “A New Trajectory Planning Approach With Motion Duration Control for Kinematic Constrained Systems” (2023), addresses a fundamental challenge in robotics: generating efficient, constraint-aware motion paths for applications like pick-and-place, welding, and material handling. By introducing a method that controls motion duration under kinematic constraints, Lange’s contribution directly enhances production efficiency and economic outcomes in automated manufacturing. This paper has already garnered 4 citations, signaling growing recognition in the field. Earlier in his career, Lange contributed to the FUmanoid Team Description Paper (2010), which detailed the hardware and software design of a humanoid robot developed for RoboCup 2009. This work reflects his hands-on involvement in competitive robotics, showcasing his ability to integrate mechanical design with real-time control systems. Together, these achievements highlight Lange’s dual focus on practical industrial automation and cutting-edge humanoid robotics, making his research valuable for both scholars and engineers seeking to advance robotic performance in constrained environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A New Trajectory Planning Approach With Motion Duration Control for Kinematic Constrained Systems
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 11

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago