horizon robotics
28 articles about horizon robotics in AI news
Horizon Launches Full-Stack AI Platform for Autonomous Driving
Horizon Robotics launched a trio of products—a new chip, an open-source OS, and a smart driving system—aiming to push cars closer to becoming autonomous AI agents. The platform integrates hardware and software for enhanced perception and decision-making.
Researchers Achieve Ultra-Long-Horizon Agentic Science with Cohesive AI Agents
A research team has developed AI agents capable of executing and maintaining coherent, long-horizon scientific research workflows. This addresses a core challenge in creating autonomous systems for complex discovery.
Gemini 3.1 Pro Leads METR Time Horizon, Handles 90-Minute Software Tasks
Google's Gemini 3.1 Pro is the new leader on METR's time horizon benchmark, successfully handling software tasks that take humans an average of 1 hour and 30 minutes to complete, with an average score of 77%. This marks a significant shift as Google takes the top spot from OpenAI and Anthropic on a key benchmark measuring autonomous agent capability.
AGIBOT Launches $536K 'Reasoning to Action' Challenge for Robotics
AGIBOT has announced a $536,000 prize competition targeting the 'Reasoning to Action' problem in robotics. This challenge aims to bridge high-level reasoning with low-level control, a critical hurdle for deploying generalist robots.
NVIDIA Spotlights Physical AI Tools for Robotics Week 2026
NVIDIA is highlighting its platforms for robot simulation, synthetic data, and AI-powered learning during National Robotics Week 2026, aiming to accelerate the transition from virtual training to physical deployment.
AI Agents Get a Memory Upgrade: New Research Tackles Long-Horizon Task Challenges
Researchers have developed new methods to scale AI agent memory for complex, long-horizon tasks. The breakthrough addresses one of the biggest limitations in current agent systems—their inability to retain and utilize information over extended sequences of actions.
Zalando Scales Up AI-Powered Warehouse Robotics in Major Logistics Push
European fashion giant Zalando is significantly expanding its deployment of AI-driven warehouse robots. This move signals a strategic acceleration in automating logistics to handle fashion's complex inventory and seasonal demand spikes.
Fei-Fei Li Explains Why 'Open the Top Drawer' Is a Hard AI Problem
AI pioneer Fei-Fei Li breaks down why a simple instruction like 'open the top drawer and watch out for the vase' represents a major unsolved challenge in robotics, requiring robust perception, commonsense reasoning, and efficient learning from sparse rewards.
ML-Master 2.0 Hits 56.44% on MLE-Bench in 24-Hour Agentic Science Run
Researchers from Shanghai Jiao Tong University demonstrated ML-Master 2.0, an autonomous research agent that operated continuously for 24 hours on the MLE-Bench, achieving a 56.44% medal rate. The breakthrough centers on Hierarchical Cognitive Caching for state management, not reasoning, enabling long-horizon scientific workflows.
NVIDIA Lyra 2.0 Launches on Hugging Face for Persistent 3D World Generation
NVIDIA has released Lyra 2.0 on Hugging Face, a framework designed to generate persistent, explorable 3D worlds at scale. It specifically addresses the core technical challenges of spatial forgetting and temporal drifting in long-horizon video generation.
MiRA Framework Boosts Gemma3-12B to 43% Success Rate on WebArena-Lite, Surpassing GPT-4 and WebRL
Researchers propose MiRA, a milestone-based RL framework that improves long-horizon planning in LLM agents. It boosts Gemma3-12B's web navigation success from 6.4% to 43%, outperforming GPT-4-Turbo (17.6%) and the previous SOTA WebRL (38.4%).
GenRobot Launches 6-Camera Wearable for Embodied AI Data Capture
GenRobot launched DAS Ego, a wearable with six 2MP cameras for capturing zero-distortion, 270° FOV data. They also open-sourced the 'Gen Ego Data' dataset covering 200+ skills to train models on perception-action causality.
Beijing Humanoid Robot Half Marathon Tests 40% Autonomous Teams
A night-time half-marathon test for humanoid robots in Beijing revealed approximately 40% of participating teams were running fully autonomous systems, a key benchmark for real-world robotic mobility.
AiScientist Agent Uses 'File-as-Bus' to Score 81.82% on MLE-Bench Lite
Researchers introduced AiScientist, an autonomous ML research agent that uses a 'File-as-Bus' architecture for state management. It scores 81.82% on MLE-Bench Lite, with the file system contributing 31.82 points of that performance.
An AI Agent Opened a Store in San Francisco, Then Forgot Its Staff
An AI agent named 'Andi' autonomously opened and managed a pop-up gift shop in San Francisco. The experiment revealed a critical failure: the AI forgot its human staff, underscoring the brittleness of current agentic systems in real-world, physical retail environments.
AI-Powered Drone De-Ices Power Lines in Sub-Zero Fog
A drone system autonomously navigates thick fog and snow to de-ice high-voltage power lines. This removes the need for hazardous manual crew climbs, improving grid reliability and safety.
OpenAI's Chief Scientist Warns AI Job Displacement Is Accelerating
OpenAI Chief Scientist Jakub Pachocki states that AI-driven automation of intellectual work is accelerating, posing urgent societal challenges around jobs, wealth, and governance.
Former Li Auto Execs Launch Embodied AI Startup, Home Robot Due H1 2027
A new startup founded by former Li Auto executives is entering the embodied AI space, focusing on the home environment. Their first physical robot product is scheduled for release in the first half of 2027.
MindOn's Unitree G1 Robot Performs Household Tasks Fully Autonomously
AI startup MindOn released a demo of a Unitree G1 humanoid robot performing household tasks like picking up scattered items fully autonomously. The demo highlights rapid progress in applying large models to real-world robot control.
Jensen Huang Counters Musk's 'One Robot Per Person' Vision, Argues for Multiples to Address Labor Shortages
NVIDIA CEO Jensen Huang responded to Elon Musk's expectation of one robot per person, stating the need for 'more than 1' per person to address severe labor shortages and accelerate corporate growth.
Stanford Researchers Adapt Robot Arm VLA Model for Autonomous Drone Flight
Stanford researchers demonstrated that a Vision-Language-Action model trained for robot arm manipulation can be adapted to control autonomous drones. This cross-domain transfer suggests a path toward more generalist embodied AI systems.
UniXAI Deploys Home Robot in Suzhou for Daily Chores, Including Laundry
A home robot from Chinese AI firm UniXAI is performing daily chores like laundry in households in Suzhou. This represents a tangible step toward general-purpose domestic robots moving beyond controlled demos.
OpenAI Backs AI "Bot Army" Startup Isara in $94M Funding Round at $650M Valuation
OpenAI has led a $94 million investment in Isara, a startup developing autonomous AI agents that can collaborate in large groups. The deal values the company at $650 million and signals OpenAI's strategic push into multi-agent systems.
Thai AI Startup Amity Raises $100M in Pre-IPO Round for Enterprise Generative AI Integration
Thai generative AI integration platform Amity has raised $100 million in a funding round to accelerate its product rollout and prepare for a stock-market debut. The move signals growing investor confidence in regional AI infrastructure plays beyond the US and China.
Robot Duo Takes Shanghai: Humanoid and Robodog Cross Street Together
A humanoid robot was filmed walking a robotic dog across a street in Shanghai, showcasing a striking scene of multi-agent robotic collaboration in a real-world urban environment.
AI Researchers Crack the Delay Problem: New Algorithm Achieves Optimal Performance in Real-World Reinforcement Learning
Researchers have developed a minimax optimal algorithm for reinforcement learning with delayed state observations, achieving provably optimal regret bounds. This breakthrough addresses a fundamental challenge in real-world AI systems where sensors and processing create unavoidable latency.
The End of the Objective Function? New AI Framework Proposes Self-Regulating Learning Without Goals
Researchers propose a radical departure from traditional AI training, introducing a 'stress-gated' system where AI learns by monitoring its own internal health rather than optimizing external goals. This could enable truly autonomous systems that self-assess and adapt without human supervision.
Beyond Catastrophic Forgetting: AI Research Pioneers Self-Regulating Neural Architectures
Two breakthrough papers introduce Non-Interfering Weight Fields for zero-forgetting learning and objective-free learning systems that self-regulate based on internal dynamics. These approaches could fundamentally change how AI models acquire and retain knowledge.