Motion retargeting enables robotic systems to replicate human motion for complex tasks. However, existing approaches often depend on costly motion capture systems and struggle with scale discrepancies between hands and arms, leading to reduced precision. They also face challenges such as high computational cost, local...
Pre-trained vision backbones, which are widely reused in automation and embodied perception systems, may be vulnerable to transfer-based adversarial attacks. A persistent challenge is to achieve strong transferability while preserving high perceptual fidelity of the adversarial examples. This work presents the Holistic...
Yi-Fan Chen, Ke Li, Yu-Feng Li et al.· IEEE Transactions on Automat...· 0 citations
Learning robot dexterous manipulation from human manipulation videos requires reliably retargeting human intent to executable robot actions while maintaining stable hand-object contact, which remains a key challenge in embodied intelligence. Existing retargeting methods often ignore explicit contact modeling or rely on...