Ivan Hernandez Dalas - Mechatronics

AGIBOT’s robot has a dexterous design to collect and use data. Source: AGIBOT As robotics research moves beyond controlled lab settings into real-world environments, the demand for large-scale, high-quality data has become increasingly critical, according to AGIBOT. The company today released AGIBOT WORLD 2026, an open-source heterogeneous dataset it said is designed to systematically support five key research pathways in embodied intelligence. “The dataset features structured, high-quality, and precisely annotated real-world robot data, providing developers and researchers with a robust foundation for training next-generation embodied AI systems,” said AGIBOT. Editor’s note:  At the 2026  Robotics Summit & Expo on May 27 and 28 in Boston, there will be sessions on embodied and physical AI , as well as on humanoid robot development.  Registration is now open. AGIBOT WORLD follows free-form data-collection strategy AGIBOT WORLD 2026 spans a wide range of rea...

In the latest in our series of interviews meeting the AAAI/SIGAI Doctoral Consortium participants, we caught up with Aniket Roy to find out more about his research on generative models for computer vision tasks. Tell us a bit about your PhD – where did you study, and what was the topic of your research? I recently completed my PhD in Computer Science at Johns Hopkins University, where I worked under the supervision of Bloomberg Distinguished Professor Rama Chellappa. My research primarily focused on developing methods for resource-constrained image generation and visual understanding. In particular, I explored how modern generative models can be adapted to operate efficiently while maintaining strong performance. During my PhD, I worked broadly at the intersection of generative AI, multimodal learning, and few-shot learning. Much of my work involved designing techniques that enable models to learn new concepts or perform complex visual tasks with limited data or computational res...

Partner V2 includes Apple Watch integration and can be controlled with the Tennibot mobile app. | Source: Tennibot Tennibot Inc., a developer of AI-powered tennis training equipment, today launched the Partner V2. This smart tennis ball machine brings together artificial intelligence, a lighter form factor, and expanded shot capabilities. “We built the Partner V2 for one reason: to give every tennis player access to the kind of intelligent, adaptive training that used to require a full-time hitting partner or private coach,” said Haitham Eletrabi, the founder and CEO of Tennibot. “This isn’t just a ball machine — it’s a smart training partner. With a lighter design, expanded shot range, and AI that learns what you need, the V2 is the most complete tennis practice machine we’ve ever created.” Editor’s note: Attendees of the 2026 Robotics Summit & Expo can play pickleball on the expo floor with the help of Tennibot. The event will be in Boston on May 27 and 28 and is expecte...

The FX Aegis quadruped robot can now be sold in the U.S. | Source: Faraday Future Faraday Future Intelligent Electric Inc. last week announced that its FX Aegis quadruped robot has passed all of the required compliance certifications needed for formal sales in the U.S. The company’s other two humanoid robots, Futurist and Master, have already passed compliance certification. The tests, conducted recently by the Federal Communications Commission’s (FCC) Authorization and Certification Division, ensure that Aegis robots are fully compliant with all applicable safety, security, and spectrum standards. Founded in 2014, Faraday Future is a mobility developer that entered the robotics market with three models earlier this year: FF Futurist , FF Master , and FX Aegis . The Los Angeles-based company began sales and deliveries in February 2026 and shipped over 20 robots last month, more than its target number. Faraday Future said it plans to deliver 200 robots for the first delivery seas...

Carter is a fully autonomous robot that can be easily moved around using its handlebars. | Source: Robust AI Most conversations about warehouse automation focus on the technology, but not enough attention is paid to what it takes to make automation actually work in real-world environments. That means dealing with unpredictable environments, legacy systems, and shifting human workflows. At the Robotics Summit & Expo, Anthony Jules, the co-founder and CEO of Robust.AI , will lead the talk “Building Warehouse Robots People Actually Want to Work With.” In this session, Jules will draw on decades of experience in robotics to explore what it really takes to bring automation into complex warehouse environments. The session is 11:30 AM on Thursday, May 28. Jules will share practical insights from the field on what makes or breaks successful implementations, ranging from design decisions that support collaborative robots to the organizational changes required for adoption. Additionally...

Maximo integrates into existing construction workflows and can double the rate of solar panel installation. Source: AES As electricity demand grows, robot fleets must rapidly scale to help meet that need. Maximo last week said it has successfully installed 100 megawatts of utility-scale solar capacity at The AES Corp.’s Bellefield complex in Kern County, Calif. The robotics company was incubated by Arlington, Va.-based AES . Data center expansion and the rising cost of fossil fuels are driving electrification, while the solar industry faces labor constraints, compressed project timelines, and cost volatility, according to Maximo. The startup said its 100 MW achievement marked the transition of robotic module installation from early deployment validation to sustained commercial production. “Solar installation is one of the most repeatable construction tasks, but also physically demanding as panels get bigger,” Deise Yumi Asami , founder of Maximo, told  The Robot Report . “Ac...