Ivan Hernandez Dalas - Mechatronics

Sanctuary demonstrates a wire-plugging task at an automotive customer. Source: Sanctuary AI While the race for commercially viable humanoid robots continues, some developers are applying physical AI and advanced manipulation to existing platforms. Sanctuary Cognitive Systems Corp. today said it has achieved “world-class performance” in a complex wire-plugging task with a global Tier 1 automotive supplier. The result was a 99.5%+ task success rate at a cycle time of 2.54 seconds, validated against the customer’s live production benchmarks. Sanctuary AI said the milestone reflects its evolved strategy, in which it seeks to deploy its physical AI on existing and next-generation industrial robots. “Physical AI adoption is gated by AI that meets both performance and cycle-time requirements. That’s what customers are seeking, and that’s what we are delivering,” stated Olivia Norton, co-founder and chief technology officer of Sanctuary AI. “B...

A figure shows multiple flight pathways as a UAV starts from the center and flies toward 24 goals (dots around perimeter). The flight pathways are mainly red and end in cool colors, showing reduced speed. The rainbow clouds represent obstacles, with cooler colors representing taller obstacles. Credit: Courtesy of the researchers. By Adam Zewe In the aftermath of a devastating earthquake, unpiloted aerial vehicles (UAVs) could fly through a collapsed building to map the scene, giving rescuers information they need to quickly reach survivors.  But this remains an extremely challenging problem for an autonomous robot, which would need to swiftly adjust its trajectory to avoid sudden obstacles while staying on course. Researchers from MIT and the University of Pennsylvania developed a new trajectory-planning system that tackles both challenges at once. Their technique enables a UAV to react to obstacles in milliseconds while staying on a smooth flight path that minimizes travel tim...

The Eno robot moves boxes in a warehouse in Sunnyvale, Calif. | Source: Genesis AI Genesis AI today unveiled Eno, its general-purpose robot. Eno is powered by GENE, the company’s foundation model. To build trust through transparency, Genesis is making Eno available with an optional screen version with a cognitive interface that can show what the robot is thinking and doing in real-time, as needed. “The only path to creating a robot that can truly deliver value to society and excel in the real world is through intentional design and a single, comprehensive system,” said Zhou Xian, co-founder and CEO of Genesis AI. “From Day 1, we’ve approached our design and engineering through a production mindset built around bringing our hardware, software, and intelligence together as a whole. Eno is an important step forward for what general-purpose robots can help society achieve, and Eno is just the beginning.” Genesis plans to begin Eno’s production and targeted customer deploymen...

Built will leverage small mobile robots equipped with a sensor suite to scan jobsites and build a dataset to be analyzed by xLAB researchers at the University of Pennsylvania. | Credit: Built Robotics The University of Pennsylvania’s Safe Autonomous Systems Lab (xLAB) is teaming up with Built Robotics to turn construction sites into a proving ground for “physical AI.”  Built plans to use its large construction robotics dataset and a new purpose-built, data-collection robot to develop a world foundation model for how machines and people can safely coexist on the job site. Built Robotics has been in the field since 2016, developing autonomous controls for large construction equipment . The company entered the utility-scale solar market in 2023 with the announcement of a new product called the RPD 35, or Robotic Pile Driver. Since its inception, Built has amassed more than 50,000 hours of operations, installed more than 3 gigawatts of solar, and is deployed at 40+ sites. Rahul Manghar...

GoFa helps test PSYONIC’s Ability Hand for robotics, combining touch sensing, compliant design, and human-derived training data. Source: ABB Robotics ABB Robotics LLC today said it is collaborating with PSYONIC to advance dexterous robotic manipulation by using real-world data from human prosthetic users. The partners are combining ABB’s GoFa force- and power-limited robot with the PSYONIC Ability Hand to explore how touch and motion data can train robots to perform tasks that have been difficult to automate. ABB Robotics added that manipulation is central to its “Autonomous Versatile Robotics” (AVR) goal of robots that can sense, reason, move, and precisely handle objects in dynamic environments. The ability to learn from real-world interactions and reliably apply those lessons will also advance physical AI , said the company , which ABB Group sold to SoftBank for $5.3 billion in October 2025. “Human dexterity and the instinctive understanding of how to handle dif...

Einride’s systems process over 5.2 million data points per second, enabling perception, object detection, and navigation across complex routes. | Source: Einride Einride AB, a company developing electric and autonomous freight operations, said it will be going public via a special purpose acquisition company, or SPAC. Legato Merger Corp. III’s shareholders voted to approve the business combination earlier this month. “At Einride, we are redesigning the way freight moves,” stated Roozbeh Charli, CEO of Einride. “We are building the world’s most efficient freight network, and going public gives us the platform to deploy our electric and autonomous technologies at the speed this market demands.” Founded in 2016, Einride said it designs, develops, and deploys freight technology  systems to accelerate the transition to future-proofed transportation. Its platform includes connected electric and autonomous heavy-duty vehicles, charging infrastructure, an...