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.
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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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Embodied AI redefines computer vision's role at CVPR 2026
Embodied AI is shifting the focus of computer vision research, moving from understanding static images to enabling intelligent agents to interact with and manipulate the real world. This paradigm shift, evident at CVPR …
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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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New datasets aim to improve linguistic diversity and spatial alignment for embodied AI
Two new datasets aim to improve embodied AI research by addressing limitations in existing data. One paper, "Limited Linguistic Diversity in Embodied AI Datasets," audits current corpora and finds they often use repetit…