The virtual worlds where robots are trained
BBC News 3 weeks ago 3
Freddo the robot was trained in a virtual simulation to walk, recognize a bottle, and grasp it in just minutes and then ran the resulting policy on its hardware.
291 summarised stories about Robotics, each linking back to the original source. Browse all topics →
BBC News 3 weeks ago 3
Freddo the robot was trained in a virtual simulation to walk, recognize a bottle, and grasp it in just minutes and then ran the resulting policy on its hardware.
Ars Technica 4 weeks ago 16
NATO-backed startup Scaleout Systems is deploying small, on-drone AI models for autonomous battlefield target detection and selection, supporting surveillance and attack missions. The company was founded in 2018 and pivoted toward defense after Russia’s full-scale invasion of Ukraine in 2022. As a result, AI inference can run on small drones using edge/sensor data instead of relying only on larger systems elsewhere, aiming to give NATO allies an operational advantage.
The Verge 4 weeks ago 4
Waymo said it will launch a robotaxi service in Singapore as part of its international expansion plans. Vehicles are expected to start arriving “in the coming months,” with mapping and autonomous testing in 2027 and a public launch targeted for 2028. The rollout depends on Singapore’s Land Transport Authority approval and will introduce robotaxis for public ride-hailing once safety assessment requirements are met.
Tech.eu 4 weeks ago 34
Logibot, a Belgian software platform for logistics robots, raised €1.4M to add an AI layer that helps warehouses pick, train, steer, and monitor robots. The funding round was led by BeamBerlin and includes RDY Ventures, PMV, and BAN Business Angels. The company plans to use the money to roll out its first robots at client sites and assemble a second robot with sensors mounted in Zellik.
The daily briefing
TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.
Meta used today’s open-weight model drop to make a point: “frontier” doesn’t have to stay in the datacenter. Muse Spark Open ships as an 816B multimodal model with a 1 million–token context window, paired with Muse Code for coding and agent-style workflows—and it comes with strings. The license is free for use and fine-tuning, but it adds revenue-linked conditions (including advance notice above $20 million) and asks developers to display “Built with Muse Spark Open.” Running locally is a hardware project in itself: Meta says you need about 1TB of RAM. Still, the rollout is broad—Meta is making it available via multiple API platforms for desktop-focused tasks, and now through Amazon SageMaker JumpStart for deploy-to-your-own-AWS-account use, including BF16 and a 4-bit NVFP4 variant.
Read the full briefing →