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Notes on autonomous systems
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Verifiable abstention makes AI leak diagnosis accountable in water distribution networks
Researchers propose a method for AI in leak localization in water distribution networks that includes verifiable abstention, ensuring accountability when the AI does not act. The method uses a physics-grounded executor…
Conversational Orchestration for Organic 6G
The authors propose a lightweight, decentralized conversational orchestration framework using Large Language Model (LLM)-driven domain agents for the future network of networks, Organic 6G. The aim is to provide…
VoLN: Vision-Only Long-Horizon Navigation---Paradigm, Benchmark, and Method
Researchers introduce Vision-Only Long-Horizon Navigation (VoLN), a new paradigm for autonomous agents to navigate using only onboard sensors and in-scene cues, rather than relying on external instructions. They create…
Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control
The paper introduces Proof-or-Stop Lifecycle Control, a method for controlling transitions in the lifecycle of autonomous coding agents. It ensures that these transitions occur only when supported by fresh evidence…
Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control
The paper presents Proof-or-Stop Lifecycle Control, a method that ensures software work transitions only when supported by verifiable evidence. The method was tested using an open-source implementation and showed…
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning
The paper proposes a method for machine learning that aims to align autonomous agents' behavior with human intent in diverse operational contexts by using a hierarchical machine teaching algorithm for reward learning…
Agentic Data Environments
The text discusses early work on Agentic Data Environments (ADE), a system that allows autonomous agents to operate safely and efficiently over a broader data environment. The goal is to increase the benefits of…
Graph Sparse Sampling: Breaking the Curse of the Horizon in Continuous MDP Planning
Researchers have proposed a new planning algorithm called Graph Sparse Sampling (GSS). This algorithm is designed to help autonomous systems plan under uncertainty in continuous domains, which can be computationally…
Grounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics
The paper presents an autonomous research pipeline that can conduct end-to-end research from a corpus of 11,083 recent condensed matter physics papers to a publication-grade manuscript. The agent is capable of…
Grounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics
The paper presents a pipeline for an autonomous research agent that can generate publication-grade manuscripts in the field of condensed matter physics. The agent is able to autonomously conceive a research direction…
Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems
The paper proposes a hardware-enforced semantic coordination architecture for safety-critical real-time autonomous systems. This approach aims to overcome limitations of software-mediated coordination by implementing…
Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems
The authors propose a novel hardware-enforced semantic coordination architecture for safety-critical real-time autonomous systems. This architecture aims to address the limitations of software-mediated coordination by…
Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems
The authors propose a hardware-enforced semantic coordination architecture for safety-critical real-time autonomous systems. This new approach aims to address limitations of software-mediated coordination by…
Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy
Researchers have developed a new framework called OmniAct for building embodied agents that can operate in unstructured environments. This framework aims to address the challenges of managing both cyber and physical…
Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy
The paper presents OmniAct, a framework designed to create persistent embodied agents that can operate autonomously in unstructured environments. It addresses the challenges of integrating cyber (APIs, IoT) and…
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