Embodied AI beyond Embodied Cognition and Enactivism
PulseAugur coverage of Embodied AI beyond Embodied Cognition and Enactivism — every cluster mentioning Embodied AI beyond Embodied Cognition and Enactivism across labs, papers, and developer communities, ranked by signal.
1 天有情绪数据
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Pelican-Unified 1.0 model unifies embodied AI capabilities
Researchers have introduced Pelican-Unified 1.0, a novel embodied intelligence model that integrates understanding, reasoning, imagination, and action into a single system. This unified approach uses a single vision-lan…
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Jianzhi Robotics builds data infrastructure for embodied AI
Jianzhi Robotics, a company focused on embodied AI, is prioritizing the development of data infrastructure over model creation. Their co-founder, Zhu Yanming, believes that the key bottleneck in embodied AI is the lack …
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具身AI在CVPR 2026上重新定义计算机视觉的角色
具身AI正将计算机视觉研究的焦点从理解静态图像转移到使智能体能够与现实世界互动和操纵。这一在CVPR 2026上显现的范式转变，通过要求系统不仅要看，还要根据反馈进行行动和学习，重新定义了计算机视觉的价值。从证明存在到扩展能力，这一演变使视觉成为物理智能的基础设施，改变了该领域内问题的定义、评估和解决方式。
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Moore Threads, Guangyun Intelligence partner on embodied AI
Moore Threads and Guangyun Intelligence have partnered to create a domestic foundation for embodied AI. This collaboration will leverage Moore Threads' GPU computing capabilities alongside Guangyun's proprietary simulat…
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SynapX launches SYNData for embodied AI robot learning
SynapX has introduced SYNData, a new system designed for collecting multimodal data crucial for embodied AI development. This system captures ego vision, EMG signals, and data from exoskeleton gloves, facilitating the l…
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Embodied AI needs privacy-utility trade-off, argues new framework
A new position paper argues that embodied AI systems, as they move into real-world applications, face a critical privacy-utility trade-off. The authors contend that optimizing individual components of these systems with…
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AhaRobot: Low-cost open-source bimanual manipulator for embodied AI
Researchers have developed AhaRobot, a low-cost, open-source bimanual mobile manipulator designed to facilitate embodied AI research. The system features a novel SCARA-like dual-arm design for reduced motor torque and a…
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Surveys explore robot learning from human videos and world models, while new networks tackle driver monitoring.
Two new survey papers explore advancements in robot learning, focusing on different data acquisition and utilization strategies. One paper provides a comprehensive review of world models, which are predictive representa…
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Survey maps 3D generation's role in embodied AI and robotics
A new survey paper details the critical role of 3D generation in advancing embodied AI and robotic simulation. It outlines how generated 3D content is essential for training robots, constructing interactive environments…
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MiMo-Embodied foundation model achieves SOTA in autonomous driving and AI
Researchers have introduced MiMo-Embodied, a novel foundation model designed to operate across both autonomous driving and embodied AI tasks. This model has achieved state-of-the-art performance on numerous benchmarks i…
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InternScenes dataset offers large-scale, realistic indoor environments for Embodied AI
Researchers have introduced InternScenes, a large-scale dataset designed to advance Embodied AI research. This dataset features approximately 40,000 diverse indoor scenes, integrating real-world scans, procedural genera…
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New benchmark and multi-agent framework boost physics-aware simulation accuracy
Researchers have introduced PhysCodeBench, a new benchmark designed to evaluate the ability of AI models to perform physics-aware symbolic simulation of 3D scenes. This benchmark includes 700 manually created samples co…
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新数据集旨在提高具身人工智能的语言多样性和空间对齐性
两个新数据集旨在通过解决现有数据的局限性来改进具身人工智能研究。一篇题为“具身人工智能数据集中的语言多样性有限”的论文审计了当前的语料库，发现它们经常使用重复的、模板化的命令，这表明需要更广泛的语言覆盖。另一篇题为“AmaraSpatial-10K”的论文介绍了一个包含超过10,000个合成3D资产的数据集，这些资产是按度量缩放和语义对齐的，专为在具身人工智能和机器人模拟中直接使用而设计。