CoRMA: Contrastive RMA for Contact-Rich Meta-Adaptation
Researchers have developed CoRMA, a novel framework for robotic motor adaptation designed for force-dominant assembly tasks. This system utilizes a compact 6D semantic contact context, inferred online using a causal Transformer adapter from sensor data. CoRMA enables within-episode adaptation without requiring demonstrations or gradient updates, showing improved real-world success rates compared to existing methods on tasks like peg insertion and gear meshing. AI
IMPACT Introduces a new method for robotic adaptation that could improve performance in complex assembly tasks.