Embodied AI
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Related Articles from SNS
Making Embodied AI Reliable: A Community Agenda from Testing to Formal Verification
arXiv:2606.03593v1 Announce Type: new Abstract: Embodied AI systems are increasingly deployed in open-world environments, yet ensuring their reliability remains a fundamental challenge. Drawing on discussions from the AAAI'26 Bridge Program on "Making Embodied AI Reliable with Testing and Formal Verification", this article argues that reliability in embodied AI is inherently a lifecycle assurance problem arising from uncertainty, human interaction, and emergent behaviors across tightly...
Physically Viable World Models: A Case for Query-Conditioned Embodied AI
Announce Type: new Abstract: World models for embodied AI must be physically viable: constructed to answer intervention queries by representing the physical structure governing action outcomes, rather than merely predicting future observations. Existing observation-predictive world models can produce visually plausible but physically wrong rollouts. This failure is structural; distinct physical systems can look identical yet diverge under intervention.
China fast tracks humanoid robots and embodied AI into industry under nationwide programme
China fast tracks humanoid robots and embodied AI into industry under nationwide programme The scheme spans manufacturing and healthcare to disaster relief and requires local governments and SOEs to test and deploy the technology this year The goal is to accelerate the deployment of humanoid robots and embodied AI in real-world production and service environments, giving local governments and state-owned enterprises less than six months to prove the technology’s viability in such settings,...
Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation
arXiv:2606.05660v1 Announce Type: new Abstract: Embodied AI systems are increasingly expected to reason and act over extended horizons in physical environments. This growing capability brings safety to the foreground, because failures in the physical world can harm people, damage objects, and disrupt workplaces. Although safe embodied AI has attracted substantial attention, the literature remains fragmented across planning, policy design, and runtime execution.
Blockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI
Announce Type: new Abstract: The deployment of embodied artificial intelligence via world-model-based robotics presents a transformative opportunity for blockchain infrastructure, establishing urgent demand for trustworthy data provenance, cross-organizational governance, and incentive-compatible sharing across decentralized ecosystems. Simultaneously, quantum computing advances recognized by the 2025 Nobel Prize in Physics and the Turing Award threaten the cryptographic primitives securing...
The DeepSpeak-Agentic Dataset
arXiv:2606.03686v1 Announce Type: new Abstract: We present DeepSpeak-Agentic, a dataset of videos comprising over 37 hours of semi-structured conversations between a human and an embodied AI agent. We use this dataset to evaluate the automatic forensic identification (audio, video, or text) of AI agents, study the nature of human-agent interactions, and provide a benchmark for future advances in the large-language models and AI-generated voices and faces that power embodied AI agents. We...
Startup offers free home cleaning—if it can record it all for robot training
The startup MicroAGI is offering free home cleaning services in New York City, but with a unique twist. The cleaners will wear cameras to record their work, which will be used to train AI-driven robots. The company aims to accelerate embodied AI and is seeking to collect data to train the next generation of household robots. Clients can book a free cleaning appointment through the Shift app, which will last approximately two hours.
Mbodi AI (YC P25) Is Hiring Founding Machine Learning Engineer (Robotics)
Industrial Robots that Learn and Operate Like Humans Mbodi is building embodied AI platform that makes robots learn and operate like humans, with natural language. Our software lets anyone teach robots new skills by talking to them and execute the learned skills reliably in production, in minutes. We are pioneering the next wave of robotics, where advanced generative models, agentic systems, and real world automation come together.
State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space
arXiv:2601.04266v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models are widely deployed in safety-critical embodied AI applications such as robotics. However, their complex multimodal interactions also expose new security vulnerabilities. In this paper, we investigate a backdoor threat in VLA models, where malicious inputs cause targeted misbehavior while preserving performance on clean data.
OpenEAI-Platform: An Open-source Embodied Artificial Intelligence Hardware-Software Unified Platform
arXiv:2606.03392v1 Announce Type: new Abstract: Embodied AI in the real world requires both accurate hardware and robust vision-language-action (VLA) policies. We present OpenEAI-Platform, a fully open-source platform that integrates a low-cost 6+1 degree-of-freedom (dof) robotic arm (OpenEAI-Arm) and a reproducible VLA model (OpenEAI-VLA). OpenEAI-Arm provides open-source mechanical designs for low manufacturing cost and compliant control methods for higher accuracy.