Agile Robots Demonstrates Advanced Force‑Control, Humanoid, and Physical AI Technologies at RTJ 2026

Munich‑headquartered Agile Robots is leveraging the Robot Technology Japan (RTJ) 2026 platform to present a comprehensive suite of industrial robotics, embodied AI, and humanoid solutions as it expands its footprint in the global automation market.

At the Nagoya event, the company showcased its latest force‑control systems, collaborative robots, humanoid platforms, and AI‑driven automation technologies.

Agile Robots emphasizes the convergence of artificial intelligence and physical‑world robotics, achieved through high‑precision force sensing, joint‑level torque measurement, and 1 kHz control cycles that continuously adapt robot movements based on real‑time feedback.

These capabilities address tasks traditionally difficult for industrial robots—precision insertion, electronics assembly, and handling of variable components—by enabling fine‑grained, responsive control.

With more than 20,000 robotic systems deployed worldwide, Agile Robots demonstrated the Diana 7 collaborative robot in automotive wiring and the Thor 7 Pro performing engine cylinder‑head assembly, using real‑time force monitoring to confirm correct component placement.

The AgileCore robotics software platform was also on display, offering a unified development environment that integrates robots, vision systems, force‑control devices, mobile units, and industrial controllers.

Beyond manufacturing automation, the company highlighted embodied AI developments through its Franka Robotics acquisition (2023). Demonstrations featured dual‑arm Franka Research 3 systems paired with Nvidia Isaac GR00T and teleoperation setups designed to accelerate data collection and AI policy training.

Recent milestones—including the launch of the Agile ONE humanoid, the acquisition of thyssenkrupp Automation Engineering, and a strategic research partnership with Google DeepMind—signal a broader vision for physical AI.

Under the DeepMind collaboration, Agile Robots plans to fuse its industrial robotics platform with Google’s Gemini Robotics foundation model, creating robots capable of advanced reasoning, adaptability, and autonomous decision‑making.

These initiatives aim to accelerate the deployment of physical AI systems in real‑world manufacturing, establishing a feedback loop between robot deployment, operational data, and AI‑driven learning.