Yandan Yang

ABot-Claw: A Foundation for Persistent, Cooperative, and Self-Evolving Robotic Agents

Dongjie Huo, Haoyun Liu, Guoqing Liu, Dekang Qi et autres

Current embodied intelligent systems still face a substantial gap between high-level reasoning and low-level physical execution in open-world environments. Although Vision-Language-Action (VLA) models provide strong perception and intuitive responses, their open-loop nature limits long-horizon performance. Agents incorporating System 2 cognitive mechanisms improve …

ABot-Claw: A Foundation for Persistent, Cooperative, and Self-Evolving Robotic Agents

Dongjie Huo, Haoyun Liu, Guoqing Liu, Dekang Qi et autres

Current embodied intelligent systems still face a substantial gap between high-level reasoning and low-level physical execution in open-world environments. Although Vision-Language-Action (VLA) models provide strong perception and intuitive responses, their open-loop nature limits long-horizon performance. Agents incorporating System 2 cognitive mechanisms improve …

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning

Yandan Yang, Shuang Zeng, Tong Lin, Xinyuan Chang et autres

Building general-purpose embodied agents across diverse hardware remains a central challenge in robotics, often framed as the ''one-brain, many-forms'' paradigm. Progress is hindered by fragmented data, inconsistent representations, and misaligned training objectives. We present ABot-M0, a framework that builds a systematic data …

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning

Yandan Yang, Shuang Zeng, Tong Lin, Xinyuan Chang et autres

Building general-purpose embodied agents across diverse hardware remains a central challenge in robotics, often framed as the ''one-brain, many-forms'' paradigm. Progress is hindered by fragmented data, inconsistent representations, and misaligned training objectives. We present ABot-M0, a framework that builds a systematic data …

MetaScenes: Towards Automated Replica Creation for Real-world 3D Scans

Huangyue Yu, Baoxiong Jia, Yixin Chen, Yandan Yang et autres

Embodied AI (EAI) research requires high-quality, diverse 3D scenes to effectively support skill acquisition, sim-to-real transfer, and generalization. Achieving these quality standards, however, necessitates the precise replication of real-world object diversity. Existing datasets demon strate that this process heavily relies on artist-driven …

cn (code pays fourni par la source)

MetaScenes: Towards Automated Replica Creation for Real-world 3D Scans

Huangyue Yu, Baoxiong Jia, Yixin Chen, Yandan Yang et autres

Embodied AI (EAI) research requires high-quality, diverse 3D scenes to effectively support skill acquisition, sim-to-real transfer, and generalization. Achieving these quality standards, however, necessitates the precise replication of real-world object diversity. Existing datasets demonstrate that this process heavily relies on artist-driven designs, …

PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI

Yandan Yang, Baoxiong Jia, Peiyuan Zhi, Siyuan Huang

With recent developments in Embodied Artificial Intel-ligence (EAI) research, there has been a growing demand for high-quality, large-scale interactive scene generation. While prior methods in scene synthesis have prioritized the naturalness and realism of the generated scenes, the physical plausibility and interactivity …

PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI

Yandan Yang, Baoxiong Jia, Peiyuan Zhi, Siyuan Huang

With recent developments in Embodied Artificial Intelligence (EAI) research, there has been a growing demand for high-quality, large-scale interactive scene generation. While prior methods in scene synthesis have prioritized the naturalness and realism of the generated scenes, the physical plausibility and interactivity …

An Improved Particle Swarm Optimization Algorithm for Automated Test Resource Allocation

Junying Chen, Yingjie Li, Yandan Yang, Jiqin Ma

Abstract With the rapid increase of software complexity, automated testing has become the mainstream of software testing. However, the current automated test tools adopt a large number of common test equipment resource. At the beginning of the test, for specific test scenarios, …

cn (code pays fourni par la source)

Latent Domain Generation for Unsupervised Domain Adaptation Object Counting

Anran Zhang, Yandan Yang, Jun Xu, Xianbin Cao et autres

Unsupervised cross-domain crowd counting has recently received great attention in computer vision, which generalizes the model from the source domain to the unlabeled target domain. However, it is an extremely challenging task because only unlabeled data is available from the target domain …

cn, nl, gb, ae (code pays fourni par la source)

IncreACO: Incrementally Learned Automatic Check-out with Photorealistic Exemplar Augmentation

Yandan Yang, Lu Sheng, Xiaolong Jiang, Haochen Wang et autres

Automatic check-out (ACO) emerges as an integral component in recent self-service retailing stores, which aims at automatically detecting and counting the randomly placed products upon a check-out platform. Existing data-driven counting works still have difficulties in generalizing to real-world retail product counting …

cn, au (code pays fourni par la source)

Variational Prototype Inference for Few-Shot Semantic Segmentation

Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen et autres

In this paper, we propose variational prototype inference to address few-shot semantic segmentation in a probabilistic framework. A probabilistic latent variable model infers the distribution of the prototype that is treated as the latent variable. We formulate the optimization as a variational …

cn, ae, nl (code pays fourni par la source)