Philipp Mohl

Profactor (Austria)

Papers

2

Total Citations

4

H-Index

2

About

Philipp Mohl is a researcher advancing human-robot collaboration and adaptive manufacturing, with a focus on intuitive interfaces and skill transfer for small and medium-sized enterprises (SMEs). His work addresses the critical challenge of efficiently programming robotic trajectories for surface finishing tasks like polishing, where frequent reprogramming is required due to small lot sizes. Mohl’s key contribution is a morphing-based method that transfers demonstrated finishing trajectories to point clouds of similar objects, eliminating the need for CAD models and enabling rapid adaptation to new workpieces. This approach, detailed in his 2025 paper (2 citations), promises to make robotic automation more accessible and cost-effective for SMEs. Additionally, his 2024 work on intuitive interfaces for human-robot collaboration (2 citations) tackles the handling of novel PCBs in industrial manufacturing, emphasizing user-friendly programming to bridge the gap between human expertise and robotic precision. Though early in his career, Mohl’s research directly addresses industry pain points, offering scalable solutions for flexible production. His contributions are poised to impact manufacturing automation, particularly in environments requiring rapid reconfiguration and minimal downtime.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Morphing Based Transfer of Demonstrated Surface Finishing Trajectories to Point Clouds of Similar Objects
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Profactor (Austria)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago