Embodied AI

面向居家养老场景的高质量具身智能仿真数据集构建研究
人口老龄化持续深化，居家养老成为我国主流养老模式，具身智能机器人是破解照护资源短缺、应急响应滞后的关键技术。具身智能模型训练依赖大规模高保真交互数据，而真实场景采集存在安全风险高、成本高、样本不足等瓶颈，通用仿真数据集未适配养老场景特性、人机安全约束与核心服务任务，难以 …
Last updated on Aug 30, 2026
Cite 大数据
Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization
Achieving general-purpose robotics requires empowering robots to adapt and evolve based on their environment and feedback. Traditional …
Cite arXiv
Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization
Confusion-Aware In-Context-Learning for Vision-Language Models in Robotic Manipulation
Vision-language models (VLMs) have significantly improved the generalization capabilities of robotic manipulation. However, VLM-based …
Cite arXiv
Confusion-Aware In-Context-Learning for Vision-Language Models in Robotic Manipulation
CARE: Multi-Task Pretraining for Latent Continuous Action Representation in Robot Control
Recent advances in Vision-Language-Action (VLA) models have shown promise for robot control, but their dependence on action supervision …
Cite arXiv IEEE
CARE: Multi-Task Pretraining for Latent Continuous Action Representation in Robot Control
Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning
Previous continual learning setups for embodied intelligence focused on executing low-level actions based on human commands, neglecting …
Cite arXiv ACL
Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning
RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models
Object Navigation (ObjectNav) is a fundamental task in embodied artificial intelligence. Although significant progress has been made in …
Cite arXiv ACL
RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models