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Toyota’s $6.4bn robotics estimate puts physical AI in focus

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Toyota Motor estimates that expanding automation across its factories, group companies, and major suppliers could require around 400,000 robots and annual spending of about 1 trillion yen ($6.4 billion) from 2028. The potential investment was discussed with investors earlier in September, according to Reuters. Toyota has not said whether the full investment will proceed or […]

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Multi-agent AI systems are taking over supply chain execution

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Multi-agent AI systems are taking over supply chain execution as enterprise networks face diminishing returns from static dashboards, pushing logistics directors towards autonomous execution. Predictive demand models display recommendations, yet human planners still clear every action. Multi-agent systems replace that approval stage across targeted operational boundaries. Instead of waiting for weekly scheduling runs, independent software

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Gartner outlines four AI tiers in warehouse automation

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Gartner reports that warehouse automation now spans four operational AI tiers as logistics operators transition from software trials to live facility deployments. In an analysis released this month, the research firm concludes that logistics infrastructure has reached a clear adoption threshold. Three pressures are driving this change across the sector. Persistent worker deficits make automated

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Lidl deploys driverless truck for store deliveries in Germany

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Lidl has started using a cab-less autonomous electric truck for regular store deliveries in Germany, assigning it a daily replenishment route between its Edermünde distribution centre and a nearby store. The truck, supplied by Swedish freight technology company Einride, operates at SAE Level 4 under a permit from Germany’s Federal Motor Transport Authority, or KBA.

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Pony.ai unveils autonomous electric truck for logistics fleets

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Pony.ai has unveiled an autonomous electric truck for logistics fleets, developed with GAC Commercial Vehicle for freight supply chains. Unveiled at IAA Transportation 2026, this Level 4 (L4) heavy rig marks the fourth-generation (Gen-4) iteration of Pony.ai’s Robotruck platform. It builds on GAC Commercial Vehicle’s T9 battery-electric truck architecture, with mass production set to start

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hand pose annotation

Hand-Pose Annotation for Dexterous Robot Manipulation

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Hand pose annotation is the process of labeling how a hand and its fingers move across every frame of a video, so that robots can learn dexterous, human-like manipulation. Today’s robots can walk, roll, and grip a box. What they still struggle with is the small stuff — buttoning a shirt, threading a cable, picking

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Reward AI Releases OM-1: A Robot Policy Trained on Human Demonstrations Only, With No Teleoperation or On-Robot Data

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Reward AI, a robotics startup whose team’s prior work includes DexCap, HumanPlus, and ALOHA, has released OM-1, short for Omnibody Model 1. OM-1 is a general-purpose manipulation policy that learns from humans wearing a sensorized glove, then runs on industrial arms and humanoids at human speed. The key findings that stands out: no teleoperation data

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NVIDIA Open-Sources OSMO: One YAML Orchestrates Physical AI Training, Simulation, and Robot Testing

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Robot developers do not have one compute problem. They have 3. A policy is trained on GB200 or H100 clusters, tested in Isaac Sim on RTX GPUs, then validated on a Jetson mounted inside a real robot. Each tier has its own cluster, its own scheduler, and its own glue scripts. NVIDIA OSMO is NVIDIA’s

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Accuracy score results for the post-trained NVIDIA Nemotron 3.5 Lightning AI model.

Palantir Foundry and cuOpt drive NVIDIA supply chain allocation

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NVIDIA is using Palantir Foundry and cuOpt to automate its hardware supply chain allocation decisions across global manufacturing sites. The company measures operational delivery from wafer-out to first token. This window splits into time-to-rack (the transit from fab output to an assembled data centre system) and time-to-token (which covers power, cooling, networking, and day-one software

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JD.com expands physical AI in logistics with 3 million robots

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JD.com is expanding AI and robotics across its logistics network under a new Physical AI Acceleration Plan, while reiterating a five-year target to procure 3 million robots, 1 million autonomous vehicles, and 100,000 delivery drones. The company launched the plan at JDDiscovery 2026 in Beijing. JD Logistics also unveiled its industrial Wolf Robot series, designed

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