To address the inefficiencies, high costs, and limitations in spatial rationality and automation prevalent in traditional and existing intelligent interior design approaches, this study proposes and implements an end-to-end intelligent interior design system. The system integrates a deep convolutional Generative Advers...
Bao-Ping Cheng· Journal of Engineering, Proj...· 0 citations
TAO-Force is proposed, a force-conditioned VLA framework that combines force-aware policy learning with contact-regulated execution and introduces Force-conditioned Feature-wise Linear Modulation to inject encoded force feedback into the representations of a frozen pretrained visual-language backbone while preserving i...
Bo-Han Gan, Xuan Wen, Yong-Shen Zhao et al.· 0 citations
Vision-Language-Action (VLA) models based on generative frameworks, such as Flow Matching, have recently achieved impressive performance in robotic manipulation. Unlike deterministic policies, Flow Matching enables VLA models to learn conditional action trajectory distributions, where latent noise vectors induce differ...
Gong-Xin Yao, Yong-Shen Zhao, Jia-Yi Deng et al.· 0 citations
A symmetric Dual-Arm Expert (DAE) architecture built upon a shared Vision-Language Model (VLM) backbone with decoupled, arm-specific expert towers is proposed, providing preliminary evidence of emergent skill generalization from single- to dual-arm tasks (as well as the reverse), together with cross-arm motion-domain s...
Yong-Shen Zhao, Han Gao, Bao-Ping Cheng et al.· 0 citations
Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for embodied intelligence by unifying perception, language grounding, and action generation in an end-to-end framework. Despite their strong performance, their deployment in physical control loops introduces new security risks: small pert...
Kaizheng Liu, Yuntao Hu, Jiaxing Li et al.· International Conference on...· 0 citations
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