MCFR: A Mask-Guided Coarse-to-Fine Regression Framework for Robust Multi-Variant Board-to-Board Connector Assembly

arXiv:2610.09327 · cs.RO · Submitted 2026-10-07 · Read on arXiv

cs.RO

Submitted: 2026-10-07

Updated: 2026-10-07

Comments: 8 pages, 7 figures, 1 table. Accepted for presentation at the 2026 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026). Finalist for the IROS Best Paper Award for Industrial Robotics Research for Applications

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Alignment — 16× in this paper
• Robustness — 14× in this paper · explained in 5 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Generalization — 10× in this paper · explained in 13 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Flexible Printed Circuit — 5× in this paper
• Feature Engineering — 4× in this paper · explained in 3 episodes
• Robust Photometric Refinement — 4× in this paper
• Ablation Studies — 3× in this paper · explained in 1 episode
• Feature Extraction — 3× in this paper · explained in 3 episodes
• Mask Generation — 3× in this paper · explained in 3 episodes
• Object-Aware Mask Generation — 3× in this paper
• Digital Twin — 2× in this paper · explained in 5 episodes
• Distribution Shift — 2× in this paper · explained in 9 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 3 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Alignment Problem — 1× in this paper
• Closed-Loop Optimization — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Cross-Attention Coarse Regression — 1× in this paper
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Linear Discriminant Analysis — 1× in this paper
• Masked Autoencoder (MAE) — 1× in this paper · explained in 5 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 5 episodes

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