3 citations · 3 across the 4 of their papers we have counts for
6 papers · 1 filter
LABIT: Long-Horizon Robotic Assembly Benchmark for Industrial Tasks
Constantin Schempp, Christian Friedrich, Luca Kofler +1
Robot learning has undergone significant advancements in the domain of compliant control and robotic assembly. The development of novel methodologies has transcended the capacity t…
A Modular Dual-Arm Robotic Cell for Disassembly and Repair of Industrial Control Electronics
Maximilian Ruhe, Fabian Harlacher, Christian Friedrich +1
Industrial control electronics such as programmable logic controllers, servo drives and operator panels are routinely repaired in plant maintenance, but were never designed for aut…
CAD-Based Relation Learning and Geometric-Symbolic Planning for Robotic Assembly
Fabian Harlacher, Christian Friedrich
Assembly Sequence Planning (ASP) remains a challenging problem due to its combinatorial nature, making exhaustive planning approaches impractical for complex industrial assemblies.…
QBIT: Quality-Aware Cloud-Based Benchmarking for Robotic Insertion Tasks
Constantin Schempp, Yongzhou Zhang, Christian Friedrich +1
Insertion tasks are fundamental yet challenging for robots, particularly in autonomous operations, due to their continuous interaction with the environment. AI-based approaches app…
Robot Agnostic Visual Servoing considering kinematic constraints enabled by a decoupled network trajectory planner structure
Constantin Schempp, Christian Friedrich
We propose a visual servoing method consisting of a detection network and a velocity trajectory planner. First, the detection network estimates the objects position and orientation…
PIPE: Process Informed Parameter Estimation, a learning based approach to task generalized system identification
Constantin Schempp, Christian Friedrich
We address the problem of robot guided assembly tasks, by using a learning-based approach to identify contact model parameters for known and novel parts. First, a Variational Autoe…