3 papers
cs.RO2026
DRHeC: Differentiable Rendering for Hand-Eye Calibration with RGB-Based Gradients
Xiaotian Zhang, Yusheng Wang, Naoya Kagawa +4
Accurate hand-eye calibration is crucial for precision manipulation. Traditional methods rely on markers, with their precision dependent on marker accuracy and observability. In co…
cs.IR2025
Fault Cause Identification across Manufacturing Lines through Ontology-Guided and Process-Aware FMEA Graph Learning with LLMs
Sho Okazaki, Kohei Kaminishi, Takuma Fujiu +3
Fault cause identification in complex engineered systems remains challenging due to system complexity, frequent reconfigurations, and the limited reusability of accumulated diagnos…
cs.RO2025
ARMimic: Learning Robotic Manipulation from Passive Human Demonstrations in Augmented Reality
Rohan Walia, Yusheng Wang, Ralf Römer +3
Imitation learning is a powerful paradigm for robot skill acquisition, yet conventional demonstration methods--such as kinesthetic teaching and teleoperation--are cumbersome, hardw…