Institute for Robotics and Intelligent Production Systems

Schempp C., Friedrich C., Kofler L., Suhm L.
LABIT: Long-Horizon Robotic Assembly Benchmark for Industrial Tasks
arXiv preprint arXiv:2610.16398, 2026.
[arXiv]

Ruhe M., Harlacher F., Friedrich C., Kipfmueller M.
A Modular Dual-Arm Robotic Cell for Disassembly and Repair of Industrial Control Electronics
arXiv preprint arXiv:2609.27466, 2026.
[arXiv]

Harlacher F., Friedrich C.
CAD-Based Relation Learning and Geometric-Symbolic Planning for Robotic Assembly
arXiv preprint arXiv:2609.17263, 2026.
[arXiv]

Hirsch E., Friedrich C.
Data-driven tool wear prediction in milling, based on a process-integrated single-sensor approach
In: Journal of Intelligent Manufacturing. 2026.
doi: 10.1007/s10845-026-02939-8
[link] [arXiv]

Frank P. and Friedrich C.
A Unified Control Architecture for Macro- Micro Manipulation using a Active Remote Center of Compliance for Manufacturing Applications
arXiv preprint arXiv:2602.01948, 2026. 
[arXiv]

Schempp C., Zhang Y., Friedrich C., Hein B.
QBIT: Quality-Aware Cloud-Based Benchmarking for Robotic Insertion Tasks
IEEE/RSJ International Conference on Intelligent Robots and Systems, Hangzhou, China, 2025.
doi: 10.1109/IROS60139
[link] [arXiv]

C. Friedrich, P. Frank, M. Santin, und M. Haag
Highly dynamic physical interaction for robotics: design and control of an active remote center of compliance
IEEE International Conference on Robotics and Automation, Atlanta, GA, USA, S. 6237-6243, 2025.
doi: 10.1109/ICRA55743.2025.11128451
[link] [arXiv]

Hake C., Friedrich C.
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production
IEEE International Conference on Emerging Technologies and Factory Automation, S. 1-8, 2025.
doi: 10.1109/ETFA65518.2025.11205647
[link] [arXiv]

Schempp C., Friedrich C.
PIPE: Process Informed Parameter Estimation, a learning based approach to task generalized system identification
IEEE International Conference on Automation Science and Engineering, 2024.
doi: 10.1109/CASE59546.2024.10711483
[link] [arXiv]

Hake C., Weigele J., Krauss B., Friedrich C., Reichert F.
Evaluation of Artificial Intelligence Methods for Lead Time Prediction in Non-Cyclical Areas of Automotive Production
In: Feliks, J., Lenort, R., Straka, M. (eds) The 12th Carpathian Logistics Congress. CLC2024 2024.
doi: 10.1007/978-3-032-28931-5_21
[link] [arXiv]

Schempp C., Friedrich C.
Robot Agnostic Visual Servoing considering kinematic constraints enabled by a decoupled network trajectory planner structure
IEEE International Conference on Mechatronics and Machine Vision in Practice, 2024.
doi: 10.1109/M2VIP62491.2024.10746186
[link] [arXiv]

Friedmann M., Klüpfel D., Frech C., Liu M., Hauf J., Li G., Friedrich C., Fleischer J.
Automated Configuration of Gripper Fingers from a Construction Kit for Robotic Applications
Machines, 11(8), 804, 2023.
doi: 10.3390/machines11080804
[link]

Friedrich C., Gulde R., Lechler A., Verl A.
Maintenance automation: Concepts for manipulation planning, control and execution
IEEE Transactions on Automation Science and Engineering, 20(2) S. 1081-1091, 2022.
doi: 10.1109/TASE.2022.3175631
[link] [arXiv]

Berscheid L., Friedrich C., Kröger T.
Robot Learning of 6 DoF Grasping using Model-based Adaptive Primitives
IEEE International Conference Robotics and Automation, Xi’an, China, S. 4474-4480, 2021.
doi: 10.1109/ICRA48506.2021.9560901
[link] [arXiv]