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Chinese AI lets everyday users command quantum computing with natural language
Chinese AI lets everyday users command quantum computing with natural language Shanghai-based start-up and researchers unveil platform to turn complex emergent field of computer science into mass-accessible technology On May 15, Shanghai-based Youshu Quantum Technology unveiled what it described as the world’s first agent-driven quantum computing platform. UnitaryLab 2.0 is designed to allow users to operate quantum computing systems using natural language alone. Users no longer need to...
SCOPE: Real-Time Natural Language Camera Agent at the Edge
Announce Type: new Abstract: Deploying language-driven agents in robotics requires evaluations that reflect real-world task demands: natural-language instructions with reproducible outcomes. Such agents must connect language models to callable perception and control tools, and be assessed using deployment-critical metrics including latency, accuracy, and error modes. (Simulation and Camera Operations for Perception and Evaluation), a modular agent for natural-language, open-vocabulary...
CLASP: Language-Driven Robot Skill Selection and Composition using Task-Parameterized Learning
Announce Type: new Abstract: Enabling robots to understand and execute tasks from natural language commands while maintaining data efficiency remains challenging. Foundation models such as vision-language-action (VLA) and vision-language models (VLMs) provide intuitive interaction channels but require extensive data; task-parameterized imitation learning achieves data efficiency but lacks natural language grounding. This work bridges this gap through a modular architecture combining...
Amazon unveils latest warehouse robot as tech giants continue AI layoffs
Amazon has unveiled its latest warehouse robot that can take commands in conversational language, underscoring how AI-powered automation is advancing as companies continue to slash their corporate workforce in AI-driven efficiencies. The tech giant's next-generation Proteus is an autonomous mobile robot, which is designed to understand natural language commands from workers and transport items in warehouses. It was launched at the company's Delivering the Future event in London on Thursday.
OneVLA: A Unified Framework for Embodied Tasks
Announce Type: replace Abstract: Navigation and manipulation are fundamental capabilities of embodied intelligence, enabling robots to interpret natural language commands and interact physically with their surroundings. However, current Vision-Language-Action (VLA) models remain constrained by task-specific architectures, specializing in either navigation or manipulation, which hinders the development of general-purpose robotic agents. To bridge this gap, we introduce OneVLA, a unified...
OneVLA: A Unified Framework for Embodied Tasks
arXiv:2606.01241v1 Announce Type: new Abstract: Navigation and manipulation are fundamental capabilities of embodied intelligence, enabling robots to interpret natural language commands and interact physically with their surroundings. However, current Vision-Language-Action (VLA) models remain constrained by task-specific architectures, specializing in either navigation or manipulation, which hinders the development of general-purpose robotic agents. To bridge this gap, we introduce OneVLA,...
Document-Authored Control-Signal Impersonation: A Low-Cost Indirect Prompt Attack on RAG Safety Boundaries
arXiv:2606.09005v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) systems often serialize user queries, retrieved documents, metadata, system labels, and task instructions into one natural-language prompt. We study a source-authority boundary failure in this design: attacker-authored retrieved text can impersonate metadata, provenance, authority, or disclosure-policy signals that appear control-relevant to the model. We call this pattern Document-Authored Control-Signal...
Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors
Announce Type: replace Abstract: This work presents a mapless navigation approach for outdoor applications. It combines the exploratory capacity of conditional variational autoencoders (CVAEs) to generate trajectories and the semantic segmentation capabilities of a lightweight visual language model (VLM) to select the trajectory to execute. Open-vocabulary segmentation is used to score and select the generated trajectories based on natural language, and a state-of-the-art local planner...
Agentic-J: An AI Agent for Biological Microscopy Image Analysis
arXiv:2606.02080v1 Announce Type: new Abstract: Biological image analysis increasingly demands integration across heterogeneous tools, programming environments, and domain knowledge that few researchers can command simultaneously. We present Agentic-J, a containerised, multi-agent AI assistant, primarily for ImageJ/Fiji that enables biologists to specify analysis tasks in natural language, from nuclei segmentation and cell tracking to multi-condition quantification. The agent generates...