Ivan Hernandez Dalas - Mechatronics

The new Mantis MR-X dual-arm fenceless robot. | Source: Mantis Robotics Mantis Robotics yesterday unveiled the MR-X, a biomimetic dual-arm robot designed to operate without safety fences or cages. The company said the system has embedded physical AI capabilities that enable it to operate alongside human workers. The MR-X builds on years of proven, certified fenceless operation, backed by major entities in automation, including Amazon . The MR-1 , certified to ISO 10218 and ISO 13849 , has already demonstrated that industrial speeds can be achieved without compromising on safety, claimed Mantis. It said the MR-X extends this proven technology to a new form factor. “Don’t mistake this for another humanoid robot. It’s a first-in-class dual-arm robot that outperforms both cobots and humanoids, in terms of both speed and safety,” stated Gerry Vannuffelen, CEO of Mantis Robotics. “When Mantis launched the MR-1, it was evidence that our safety architecture ...

Vention’s AI-powered platform enables FANUC industrial and collaborative robots to autonomously generate collision-free motion paths while providing integrated monitoring and remote support. Source: CNW Group/Vention At Automate this week in Chicago, Vention Inc. is showcasing partnerships around software-defined automation. The company has expanded support for FANUC America industrial robots, and it has optimized a new digital twin platform for Universal Robots deployments. “We’re seeing strong demand from manufacturers for automation that’s easier to deploy and faster to bring online, especially as labor challenges continue,” said Dick Motley, director of the Authorized System Integrator Network at FANUC America. “Many companies want to automate but are looking for solutions that reduce complexity and are easier to implement,” he added. “Vention’s AI-powered platform helps customers deploy FANUC’s industrial and collaborat...

CreateMe’s platform includes Pixel micro-adhesive bonding, the MeRA robotic assembly system, and Thermo(re)set reversible adhesive science. | Source: CreateMe Technologies CreateMe Technologies Inc. today announced strategic partnerships with Avalo and Laguna Fabrics to introduce Seed to System. This initiative aims to connect climate-smart cotton, domestic textile manufacturing, and robotic garment assembly into a single AI-assisted ecosystem. The partnership aims to demonstrate how apparel can be produced faster, more locally, and with greater supply chain resilience. “We believe the future of apparel manufacturing depends on building connected systems across material innovation, textile development, and advanced automation,” said Cam Myers, founder and CEO of CreateMe. “This partnership is not about recreating legacy supply chains. It is about building a new foundation for apparel manufacturing, one powered by technical innovation, AI-assisted development, and closer collabo...

Physical AI needs more than data to enable robots to be more effective. Source: Erika AI, via Adobe Stock The world of artificial intelligence is moving from chatbots to vision processing—AI that lives in robots and self-driving cars. While we have made major strides in training these systems using massive datasets and digital simulations, a critical gap remains: the bridge between what a robot “sees” and what is actually happening in our messy, physical world. High-level reasoning is not enough if the system doesn’t fully understand the physical state of its environment. Physical AI evolves from Version 1.0 to 2.0 Currently, the industry is dominated by “physical AI 1.0.” This phase is defined by scale: using massive amounts of video and text data, along with hyper-realistic simulations like NVIDIA ’s Cosmos platform, to teach machines how the world works before they ever take their first steps. However, physical AI 1.0 has a “vision-first...

Image credit: By Jeff Dahl – Own work by uploader, Based on the public domain document: [1] , CC BY-SA 3.0 , Link By Stephanie Parker This research from the NeuroAI Lab of Martin Schrimpf, part of EPFL’s Schools of Computer and Communication Sciences and Life Sciences , uses AI models to predict exactly where to stimulate the brain to evoke images of faces and specific objects in the users instead of simply evoking spots of light. The models developed at EPFL were used by Dutch researchers for live trials on sighted monkeys. The preliminary results, presented in April at the International Conference on Learning Representations , show very promising implications for vision in humans as well. “The motivation for this project is that there are many people with visual deficits that are irreparable, in the sense that somewhere along the visual processing stream, starting with the retina, there is a deficit which cannot be repaired,” says Johannes Mehrer, a scientist in the NeuroA...

Eclipse RealitySync helps manufacturers evaluate, de-risk, and scale automation faster. | Source: Eclipse Automation Eclipse Automation launched Eclipse RealitySync at Automate 2026. The company said this product offers a new approach to how manufacturers evaluate, de-risk, and scale factory automation. Factory automation has grown more complex, connected, and harder to assess using traditional methods. Eclipse RealitySync allows manufacturers to step into their future factory before it’s built. The system uses immersive environments powered by Apple Vision Pro technology and guided by Eclipse Automation experts. With RealitySync, manufacturers can walk production lines, explore workflows in context, and collaborate across teams in a highly connected and interactive way. “The way manufacturers evaluate automation hasn’t kept pace with the real-world complexity of modern production,” said Steve Mai, the CEO of Eclipse Automation . “Teams are still making major investment decisions ...