-
Website: https://io-ai.tech/en/
-
Email: [email protected]
-
Phone: +86 0755-88658665
IO Intelligence provides a one-stop solution for Embodied AI and robotics development. Their offerings include the TELEXPERIENCE III remote operation platform, human motion capture, and a data platform for large-scale data collection, annotation, and model training for dozens of robot types.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
A comprehensive guide to industrial robot programming language evolution: G-code and NC origins, FANUC KAREL/TP, ABB RAPID, KUKA KRL, Yaskawa INFORM, the ROS open-source revolution, ROS2 architecture, ROS-Industrial consortium, OPC-UA, TSN, and real-time Linux — how six decades of software history define today's factory floor.
BySimon Dicky May 29, 2026A technology-first analysis of the three pillars driving industrial robot capability: precision reducers, servo systems, and motion controllers. Maps the full global supplier ecosystem — Japan, Europe, and China — from component specs to product generations and integration architectures.
BySimon Dicky May 16, 2026Construction musculoskeletal injuries cost US employers over $2 billion annually. Exoskeletons are moving from pilots to standard practice. Ottobock, German Bionic, Hyundai, and Innophys launched major products in 2024–2025. Korea and Japan lead adoption. AI is turning passive suits into connected safety platforms.
BySimon Dicky May 04, 2026A new RoboMME benchmark study reveals that modern robot AI still struggles with memory — an emerging bottleneck for generalist and humanoid robotics.
ByRobotToday Reporter Mar 17, 2026CMU's Shubham Tulsiani receives NSF CAREER Award for pioneering work teaching robots to learn manipulation skills from internet videos. Zero-shot learning breakthrough.
ByKelly Stone Jan 21, 2026Realman Robotics has open-sourced the world's first high-quality, multimodal real-robot dataset, collected across ten real-world application scenarios at Beijing's humanoid robot data training center. The dataset features hardware-level temporal synchronization, sub-0.5% frame drop rate, and complete modality coverage including joint kinematics, six-axis end-effector force/torque, and calibrated multi-camera imagery.
ByRobotToday Reporter Nov 24, 2025
Leave a comment