Safe Embodied AI
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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.
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...
VLESA: Vision-Language Embodied Safety Agent for Human Activity Monitoring
Announce Type: new Abstract: As AI systems increasingly assist humans in physical tasks, ensuring safety becomes paramount -- physical actions carry immediate and irreversible consequences that digital errors do not. We introduce the Vision-Language Embodied Safety Agent (VLESA), a framework that monitors human activities from egocentric video and triggers real-time safety interventions when dangerous actions are predicted. VLESA addresses intent-dependent safety where identical actions can...
Robot pets with AI could soon live with you
A robot that follows you around the house may sound a little strange at first. Yet Colin Angle, the cofounder of iRobot and one of the people behind Roomba, is betting that the next big home robot may feel less like a machine and more like a companion. His new company, Familiar Machines & Magic, has revealed its first robot concept called a Familiar.
Robot pets with AI could soon live with you
A robot that follows you around the house may sound a little strange at first. Yet Colin Angle, the cofounder of iRobot and one of the people behind Roomba, is betting that the next big home robot may feel less like a machine and more like a companion. His new company, Familiar Machines & Magic, has revealed its first robot concept called a Familiar.
Rideable robot looks ready to stomp all over us
A towering rideable robot that walks with a person inside and smashes through bricks is the kind of thing that makes you look twice and ask, "Wait, are they really selling that?"That is exactly what Unitree is showing with the GD01, a manned, transformable robot built to carry a passenger and shift from a two-legged stance into a four-legged form. It looks part robot, part vehicle and part very expensive attention magnet.The China-based robotics company says the GD01 starts at about...
Human-Like Neural Nets by Catapulting
Human-like Neural Nets by Catapulting Speculative proposal to create artificial neural nets with human-like performance by high-learning-rate/regularization training of overparameterized NNs to trigger catapulting/grokking. Over-parameterization as a route to true generalization would resolve many outstanding mysteries of artificial versus natural intelligence. There are many mysteries about deep learning and human intelligence, but we could describe the biggest anomaly this way: why are...
When AI Builds Itself: Our progress toward recursive self-improvement
For most of AI’s history, humans drove every step in its development cycle. But at Anthropic, we are delegating a growing share of AI development to AI systems themselves, which is speeding up our work. Taken far enough, and given enough compute, that trend points to an AI system capable of fully autonomously designing and developing its own successor.
The Frame Problem
The Frame Problem To most AI researchers, the frame problem is the challenge of representing the effects of action in logic without having to represent explicitly a large number of intuitively obvious non-effects. But to many philosophers, the AI researchers' frame problem is suggestive of wider epistemological issues. Is it possible, in principle, to limit the scope of the reasoning required to derive the consequences of an action?
Artificial intelligence is not conscious – Ted Chiang
No, Artificial Intelligence Is Not Conscious Taken to its logical conclusion, this line of thinking is absurd—and damning. Anthropic is regarded as a giant among AI companies, but perhaps what it really excels in is anthropomorphism. Earlier this year, the company released an 84-page document titled Claude’s “constitution,” Claude being the name of the large language model that is the company’s flagship product.