Independent Researcher Achieves Second Place in Real-World Robot Cloth Folding Challenge

An independent researcher published a technical report on June 2, 2026 (arXiv:2606.27163) detailing a reinforcement learning system that achieved first place in the simulation track and second place in the real-robot track of the LeHome Challenge 2026 cloth folding competition. The system combines behavior cloning with a 'flywheel' training loop involving parallel simulators, reward shaping via intermediate milestones, self-critique heads within a Vision-Language-Action (VLA) model, advantage-weighted sampling strategies, and aggressive visual augmentation to enable sim-to-real transfer. After three months of simulation training followed by one week of real-world fine-tuning on actual hardware, the approach successfully folded garments under strict 'all-or-nothing' geometric criteria.