Ivan Hernandez Dalas - Mechatronics

AGIBOT said its G2 robot is made with 100% automotive-grade components and has full machine IP42 protection. | Source: AGIBOT AGIBOT this week announced it deployed its AGIBOT G2 robots into a live consumer electronics precision manufacturing environment operated by Longcheer Technology. With the deployment, AGIBOT said it has achieved large-scale industrial implementation of embodied AI systems within core production workflows in consumer electronics manufacturing. Longcheer has integrated multiple AGIBOT G2 robots into its tablet production lines. Here, the robots work alongside human operators in real manufacturing environments. AGIBOT said the deployment marks a transition of embodied AI from laboratory demonstration to stable, scalable industrial deployment. “2026 marks the beginning of large-scale deployment for embodied intelligence,” said Dr. Yao Maoqing, a partner, senior vice president, and president of the embodied business unit at AGIBOT. “This project demonstrates t...

In a move to bridge the gap between foundation AI and industrial hardware, Skild AI has acquired the robotics division of Zebra Technologies (formerly Fetch Robotics). Skild said the acquisition will help it deploy its “omni-bodied” intelligence layer across the global logistics sector. By integrating its hardware-agnostic AI “brain” with Zebra’s battle-tested warehouse platforms, the acquisition aims to transform task-specific automation into a unified, autonomous fulfillment ecosystem while fueling Skild AI’s proprietary data flywheel. In a blog article on the Skild website, the company outlined a few details of the acquisition. Financial details of the acquisition were not disclosed. Skild wrote that the acquisition signals a pivot away from “brittle,” task-oriented robotics toward a unified intelligence layer capable of controlling diverse forms of machines. By merging its hardware-agnostic foundation model with Zebra’s established Symmetry orchestration platform, Skild AI ai...

Antioch says simulation can help robot developers overcome testing bottlenecks. Source: Antioch Validating a robot’s behavior in the real world typically means renting physical space, manually staging environments, and resetting hardware between every run, according to Antioch. It’s expensive, slow, and covers only a fraction of the scenarios a system will face in production, said the startup. Antioch today said it has raised $8.5 million to move development and evaluation of autonomous systems out of the physical world and into cloud-based simulation. The company ‘s stated goal is to eliminate the need for hardware and elaborate physical testing. “Robotics teams are spending weeks staging warehouses and investing millions into test facilities to validate their systems,” said Antioch co-founder Harry Mellsop, who previously worked on Tesla ‘s Autopilot team. “Meanwhile, companies like Tesla, Waymo, and Anduril spend hundreds of millions a year on simulation infrastructure to minim...

The next-generation Robocath surgical robot is in use during a first-in-human trial. Stereotaxis has agreed to acquire the technology. | Source: Robocath Stereotaxis announced today that it agreed to acquire surgical robot developer Robocath. The transaction includes an upfront payment of $20 million and additional contingent payments of up to $25 million tied to regulatory and commercial milestones, including FDA clearance of the company’s next-generation robotic technology. “Robocath represents a highly strategic addition to Stereotaxis, amplifying and accelerating our strategy as the leading robotic platform for the broad spectrum of endovascular procedures. By combining our complementary robotic mechanisms, we are creating a uniquely capable platform that expands our reach across interventional medicine,” David Fischel, Stereotaxis chair and CEO, said. “This transaction accelerates our strategy, enhances our technological leadership, provides attractive commercial synergies, o...

Source: Adobe Stock Most U.S. factories were built long before automation was feasible, yet they produce the majority of American manufacturing output. This creates both a challenge and an opportunity for autonomous mobile robots ( AMRs ). These legacy facilities rely heavily on manual material transport, fragmented control systems, and labor-intensive routing, resulting in inefficiencies that limit throughput, safety, and operational flexibility. At the Robotics Summit & Expo, which takes place May 27-28, 2026, Joshua Joseph, an AMR deployment engineer at Tesla , will lead the talk, “Tesla’s Roadmap for Scaling AMRs in Legacy U.S. Factories.” This session presents a practical, data-driven roadmap for deploying AMRs in legacy manufacturing environments. It will be grounded in pilot programs and scaled deployments at Tesla’s high-volume electric vehicle operations. Rather than treating AMRs as standalone tools, the talk reframes them as infrastructure. AMRs serve as a connecti...

Boston Dynamics’ Spot quadruped equipped with AIVI-Learning. | Source: Boston Dynamics Boston Dynamics today announced it is partnering with Google Cloud and Google DeepMind to integrate Gemini and Gemini Robotics ER 1.6 into Orbit AIVI -Learning. The robotics developer said the integration will allow it to deliver a more sophisticated, intuitive, and powerful AI experience. Industrial environments are incredibly complex, and the assets Boston Dynamics’ customers manage require more than just basic object recognition. The company said Gemini will bring better reasoning and adaptability to AIVI-Learning. Boston Dynamics Spot and Orbit now continuously learn about the facility they’re deployed in with unprecedented depth. This, the company said, allows for higher-order reasoning and more complex visual analysis. DeepMind released Gemini Robotics-ER 1.6 today. The upgraded reasoning-first model features enhanced reasoning and multi-view understanding, DeepMind said. It specializes...