AIBullisharXiv – CS AI · 9h ago7/10
🧠
Is Diversity All You Need for Scalable Robotic Manipulation?
Researchers challenge the 'more diversity is better' paradigm in robotic manipulation by demonstrating that task diversity matters more than data quantity, single-embodiment pre-training transfers effectively across platforms, and expert diversity can actually harm learning due to velocity multimodality. Their distribution debiasing method achieves 15% performance gains equivalent to 2.5x more pre-training data.