Papers

12

Total Citations

576

H-Index

9

About

Jochen Lang’s research bridges computer graphics, robotics, and haptics, with a central focus on acquiring and modeling the physical interaction behavior of real-world objects. His most influential work, the 2005 paper “Scanning physical interaction behavior of 3D objects” (196 citations), pioneered a system that captures deformation, contact textures, and contact sounds from real objects to create interactive computer models. This foundational contribution, alongside a related 2001 paper (151 citations), established a new paradigm for haptic and deformable modeling. Lang further advanced this area by developing robust estimation techniques for elastic models (59 citations) and introducing IIR filter models for haptic vibration textures (36 citations), enabling more realistic tactile feedback in virtual environments. His work on robotic acquisition of deformable models and active measurement facilities (55 citations) demonstrates a sustained commitment to automating physical property capture. More recently, Lang has applied machine learning to industrial robotics, as seen in his work on semi-supervised training for welding seam positioning (2021). With over 570 total citations, Lang’s research has profoundly impacted how we digitize and interact with physical objects, influencing virtual reality, haptics, and robotic manipulation.

Research Focus

Key Achievements

9
H-Index
12
Papers
576
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Scanning physical interaction behavior of 3D objects
196 citations · 2005
📈 Most Prolific Year: 2002 (3 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: University of British Columbia, University of Ottawa

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago