Robotics

Today's Stories

1. 1

   GE Aerospace Lynn factory embraces AI and robots

   GE Aerospace's Lynn, Massachusetts facility is integrating robots and AI into its manufacturing operations, reshaping how jet engine parts are produced. This shift aims to improve efficiency and precision in aerospace manufacturing, potentially setting a new standard for how industrial plants operate while maintaining workforce roles.

   How the adoption of these technologies at Lynn could influence broader manufacturing trends and whether similar approaches are replicated across other GE Aerospace plants.

2. 2

   Suntory Logistics, Toyota Industries to Test Forklift with Switchable Forks

   Suntory Logistics and Toyota Industries announced on September 1 that they will begin a demonstration test in November this year at the Suntory Logistics Urawa-Misono Distribution Center in Saitama City, using Toyota Industries' automated driving forklift "Rinova Autonomous" equipped with a multi-load handler that can switch between two and four forks. This is described as Japan's first automated driving forklift for truck loading with a multi-load handler using 3D-SLAM guidance. The test aims to verify precision, stability, and practical responsiveness when transporting different numbers of pallets, potentially automating the entire forklift workflow from unloading to loading—a step toward addressing chronic labor shortages and aging in the logistics industry.

   The companies aim for actual operation from September 2028 onward, with the operation location yet to be decided. The demonstration will assess whether switching fork counts on a single forklift can meet the need for flexible truck loading automation.

3. 3

   AWS Japan showcases 13 physical AI projects

   AWS Japan held a成果発表会 on August 31, 2026, where 13 projects from 14 companies presented results from its physical AI development support program. The program, started in January 2026, selected 51 companies (over half being startups) and supported them for about six months from a March kickoff. Physical AI—systems where AI controls robots based on sensor data and language instructions—is being applied to real-world logistics, construction, and e-commerce tasks. For example, Daifuku and JDSC achieved 97 successful sorts out of 100 even with unlearned item combinations, and Mercari plans to automate about 20% of its own warehouses by 2028, cutting internal costs by up to ¥200 million annually.

   Concrete results highlight progress:豆蔵's VLA-based (Vision-Language-Action model) alignment achieved 85% success vertically and 80% horizontally, while竹中工務店 built training data for painting tasks despite lacking 3D data for wall rollers. Mercari's inspection automation addresses a step that takes 10 to 60 times longer than other warehouse processes.

4. 4

   Gemini Robotics 2, robotics funding and IPOs top August 2026

   Google DeepMind unveiled Gemini Robotics 2, the latest vision-language-action (VLA) model, with whole-body control, advanced dexterity, and multi-robot collaboration. Unitree Robotics debuted on Shanghai's STAR Market, closing its first day 460% higher and raising around $905 million U.S. Large funding rounds, humanoid robot developments, and new AI models for robotics captured readers' attention. The news reflects growing investment and technological progress in robotics, from humanoid units to autonomous construction and shipbuilding.

   XPeng's Dogotix unit raised over $900 million, bringing its post-transaction valuation to more than $6.3 billion. HII signed agreements worth up to $900 million with Path Robotics and GrayMatter Robotics over seven years.

5. 5

   Avidrone Wins DARPA Lift Challenge with 3.84:1 Payload Ratio

   Avidrone Aerospace won the DARPA Lift Challenge with a payload-to-weight ratio of 3.84:1, just short of the 4:1 goal. The 29-pound aircraft lifted 112-115 pounds of payload, earning a $1.25 million first-place prize. The 4:1 ratio was once seen as impossible, like the four-minute mile. DARPA says the result shows the benchmark is now within reach of today's technology, signaling progress for heavy-lift drones.

   Avidrone plans to continue developing the design, with possible commercialization as early as next year. The competition attracted 480 teams from 25 countries, and DARPA hopes it will encourage global players to build in the U.S.

6. 6

   Physical AI takes center stage at RoboBusiness 2026

   At RoboBusiness 2026, held Oct. 20-21 in Santa Clara, Calif., a keynote panel titled “Beyond the Demo: AI in Production Robots” will feature leaders from Amazon Robotics, Teradyne Robotics, and Cobot. They will discuss how physical AI is being applied to robots in real customer environments, covering perception, autonomy, fleet optimization, maintenance, and software updates. While physical AI efforts attract tens of millions of dollars in funding, the question remains what it is actually doing in the real world today. The panel aims to address this by exploring how to build physical AI that is reliable, scalable, and delivers measurable business value. Speakers include Bhavana Chandrashekhar from Amazon Robotics, who built robots like Robin (picked several billion packages) and Vulcan Stow (stowed over a million items), James Davidson from Teradyne Robotics, and Michael Vogelsong from Cobot.

   Attendees can register for the full conference pass to gain access to all keynotes, technical sessions, networking receptions, and special events. Discounts are available for academia, associations, and corporate groups. The session is at 4:30 p.m. PT on the first day.