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Intelligent Robotics

2026.09.29Intelligent Robotics

RoboTWIN Universal AI Training Platform

Due to diverse robot brands, types, and configurations requiring extensive tuning, the RoboTWIN universal AI learning platform provides a high-fidelity simulation environment to train robot behaviors and tasks, enabling real-world deployment and cross-platform skill transfer.

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2026.09.29Intelligent Robotics

RoboTWIN Integrated Virtual-Real Robot Control Unit

To address the high cost, long deployment time, and risks of building automated production lines or factories, the RoboTWIN metaverse simulation platform enables pre-deployment learning, planning, and validation in a virtual environment before implementation in real-world settings. Integrated with artificial intelligence across industrial robotic arms, legged robots, and dexterous hands, it enhances production line automation, optimizes performance, and enables intelligent transformation.

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2026.09.29Intelligent Robotics

XR OSCE-haptic Feedback Technology

Dental training relies on force and tactile perception, but current VR systems cannot provide synchronized dual-sensory feedback, forcing students to learn through risk-sensitive clinical practice. The lack of a standardized interface also makes training difficult to quantify and objectively evaluate.

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2026.09.29Intelligent Robotics

Dual Arm Robot System

Dual-arm robots previously faced challenges like low precision, limited payload capacity, restricted degrees of freedom, and inadequate grasping ability for soft or irregular objects. In addition, poor integration of structural design and control systems made it difficult to perform complex and diverse tasks.

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2026.09.29Intelligent Robotics

Wafer Handling Robot

Wafer robots previously faced challenges integrating into Equipment Front End Module (EFEM), including low space efficiency, large footprint, maintenance difficulties, limited stability and electromagnetic interference affecting precision. With the growing demands of the semiconductor industry, the performance requirements for wafer transfer robots have also increased.

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2026.09.29Intelligent Robotics

Detachable Joint Robot System

For various and small-scale automated production lines, diverse types of robotic arms are required. However, the robotic arms available on the market come in fixed configurations, making customization impossible for customers. When maintenance is needed, the entire arm must be sent back to the manufacturer for repairs. The process not only involves laborious tasks but also halts production lines, leading to delays in delivery schedules.

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2026.09.29Intelligent Robotics

HolonOS | Core Robotic Software Integrating AI, Sensing, and Control Technologies

Small-batch, multi-variety manufacturing leads to labor shortages and complex equipment operation. Traditional robotic arms require diverse sensors, communication protocols, algorithms, brand-specific support, and expert programming, limiting production line flexibility, increasing downtime, reducing efficiency, and demanding high investment from system integrators. HolonOS integrates AI, sensors, and control, enabling 1-hour mastery, 15-minute path setup, and 3-minute tuning to boost efficiency.

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2026.09.29Intelligent Robotics

Ultra-wideband Multi-sensor Fusion Robot Localization Technology

AMR navigation failures often occur when environments deviate significantly from original digital maps due to reflections, dynamic obstacles, or clutter. Localization errors among different AMRs result in inconsistent positional information, reducing the performance and efficiency of multi-robot collaborative localization and navigation.

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2026.09.29Intelligent Robotics

AMR and Intelligent Fleet Management System

Autonomous Mobile Robots (AMRs) alleviate labor shortages and enhance factory efficiency by performing tasks such as goods delivery and environmental cleaning independently. However, inconsistent communication systems across factories hinder AMRs from communicating during routine tasks, complicating the coordination and integration with equipment such as elevators and shelves, thereby limiting the use and expansion.

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2026.09.29Intelligent Robotics

AI-driven Self-Navigating Miniature Serpentine Robotic System for Natural Orifice Transluminal Endoscopic Surgery, AiSNMS

Traditional endoscopic surgery depends on visual inspection and instrument handling, making it prone to disorientation. Prolonged radiation exposure also increases risks for doctors. Additionally, percutaneous procedures may cause bleeding, pneumothorax, and infections, leading to complications and longer recovery times. This technology allows doctors to control the instruments precisely through the system panel.

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