How a Melexis Collaboration is Working to Develop the Touch-Enabled Robots of the Future
The convergence of feedback mechanisms, like tactile sensors, and smart and adaptive control systems, is an interdisciplinary challenge requiring extensive collaboration among electronic hardware, software, embedded systems, mechanical robotics, and mechatronics experts.
UniX AI introduces Panther, the world's first service humanoid robot to enter real household deployment, powered by its differentiated wheeled dual-arm architecture
The all-new wheeled dual-arm humanoid robot Panther is fitted with the world's first mass-produced 8-DoF bionic arms, an adaptive intelligent gripper on its high-DOF joint platform and features an omnidirectional four-wheel steering and four-wheel drive (4WS+4WD) chassis.
AGIBOT Reaches 10,000 Units as Real-World Demand for Robots Accelerates
More than a production figure, the achievement marks a significant step forward for the robotics industry, signaling a transition from early-stage validation to scalable, real-world deployment.
The Autonomous Equipment Billing Problem Nobody's Solving
We are deploying machines that operate twenty four hours a day without human intervention while settling their economic output through spreadsheets, phone calls, and quarterly reconciliation meetings.
Data Centers Are Expanding — Will Operators Turn to Robots for Management?
As data centers continue scaling, robotic automation will shift from a novelty to a necessity. This technology meets the scalability, precision and efficiency demands of on-demand task execution, so it won't be long.
Beyond the Flat Floor: Bridging the "Terrain Gap" with Intelligent Vertical and All-Terrain Robotics
As global supply chain leaders look toward MODEX 2026, the industry is moving beyond "islands of automation." The new mandate is versatility: the ability to navigate the vertical, the rugged, and the unpredictable.
Scaling Industrial Robots in the Age of AI
Robotic Foundation Models (RFMs), similar to large language models for text, are generative AI models trained from a dataset that enables robots to perform and predict a variety of tasks with high accuracy and adapt to changing conditions without reprogramming.
AWD and SWD drive solutions for AMRs
Companies are pushing semi-automated and Fully automated solutions to address Ergonomics among many other challenges like Efficiency, SKU proliferation, Labor Challenges etc.
Solving Real-World Problems with Robotics That Actually Work
Robots should handle the heavy, repetitive, behind-the-scenes work that wears people down. When that happens, employees can spend more time on service, communication, and the parts of the job that improve the guest experience.
Rethinking Robotic Gearboxes in the Age of Additive Manufacturing
For decades, gearbox manufacturing has relied on precision machining and multi-stage assembly. The process is proven, but it comes with familiar trade-offs: long lead times, design constraints, and limited flexibility during early-stage development
Where Human Skill Meets Smart Automation: The Case for Semi-Automated Bin Picking
Manual handling can no longer keep pace without risking fatigue or injury, yet fully robotic systems are often rigid, costly, and hard to adapt. Between these extremes lies a growing opportunity for solutions that blend human expertise with targeted automation.
New York Robotics Formally Launches Amid Surge In Robotics Investment, Demand, And Talent
New York Emerges as a Global Robotics Hub as 160 Startups Take Root Across the Tri-State Area positioning the region alongside the world's top robotics capitals.
Why Robots Are About to Change Everything AND WHY NOW
The convergence of AI breakthroughs and robotics is creating a moment for which the field has been waiting decades.
How to Build a Digital Foundation for Your Robotics and Automation Strategy
A strong digital foundation brings everything together, allowing automation initiatives to scale, adapt and perform as intended. Without it, automation efforts often stall before they reach their full potential.
European researchers developed energy-efficient machine vision inspired by human eyesight and the brain
This enables, for instance, intelligent robots and drones that can operate independently in a rescue mission after an earthquake without constant network connections or bulky batteries.
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