ASRock Industrial Computer Corporation
Taiwan manufacturer of industrial PCs, embedded motherboards, and fanless edge AI computers for robotics, factory automation, and AIoT applications.
ASRock Industrial, a global leader in edge computers and industrial motherboards, delivers high-performance industrial computers, motherboards, and mini PCs. Our innovations power AI computing, smart manufacturing, and IoT applications worldwide. Subscribe for the Latest Automate Show Updates Copyright © 2013-2026 A3 Automate. All Rights Reserved.
Primary type & automation activities this supplier delivers:
iEP-9010E
Rugged edge AIoT PC with Intel 12th Gen Core and R680E chipset for factory automation
iEP-5010G-DCN
Rugged IoT controller certified ATEX Zone 2 and UL C1D2 for hazardous industrial control
iEPF-11000S Series
Edge AIoT platform with Intel Xeon 600 supporting up to four Intel Arc Pro B60 GPUs
NUC Ultra 300 BOX Series
Compact edge AI box with Intel Core Ultra Series 3 for on-device AI processing
Contact ASRock Industrial Computer Corporation
WEBSITE
https://www.asrockind.comPHONE
+886-2-5588-2688HEADQUARTERS
Taiwan
Company Facts
Founded
2018
Primary Role
Manufacturer
Company Size
employees 100-500
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
-
Funding Total
-
Utilizing Digital Twin Technology for Automation Exploration Before Capital Investment
RoboDK has introduced digital twin and offline programming software that enables users to test robots from over 1,400 brands, facilitating the search for optimal automation solutions. This innovation is crucial as manufacturers face challenges in adopting automation due to the complexity of selecting the right robots and peripherals amidst economic uncertainties. The significance of digital twin technology lies in its ability to alleviate the apprehensions associated with initial automation investments. By allowing manufacturers to simulate various robot configurations and layouts, digital twins provide a clearer understanding of potential operational efficiencies and integration capabilities, which is vital for informed decision-making. Looking ahead, companies should monitor the adoption of digital twin software as a strategic tool for automation exploration. This technology not only aids in visualizing robotic systems but also enhances the planning process, potentially leading to more successful automation implementations without the fear of vendor lock-in or inadequate ROI assessments. No further timeline was disclosed at the time of publication.
Manufacturing Motion Control News Opinion Software / Simulation cnc
Powerus Secures $22.3 Million Contract for Counter-Drone Network in Middle East Oil Fields
Powerus, a U.S.-based company, has been officially commissioned to establish a counter-drone detection network for oil and gas fields in the Middle East. The contract, valued at $22.3 million, encompasses hardware, software, installation, and 24-hour maintenance to protect critical infrastructure from drone threats. The significance of this initiative lies in the vulnerability of oil and gas facilities, which are attractive targets due to their large, fixed nature and the presence of flammable materials. Drone attacks can disrupt operations and impact market prices, making effective detection systems crucial for safeguarding these economically vital assets. Looking ahead, the system will initially focus on detection and warning capabilities, with potential future integration of Powerus's Guardian-1 interceptor for active defense. However, details regarding the specific facilities covered, the types of sensors to be deployed, and the timeline for implementation remain undisclosed at this time.
Energy Innovation
Exploring Software-Defined Manufacturing and Its Impact on Factory Operations
In Episode 258 of The Robot Report Podcast, Dr. Roby Lynn, founder and CEO of R2 Labs, discusses the concept of software-defined manufacturing. This approach leverages automation to enhance production flexibility, allowing companies to adapt more readily to changing demands. R2 Labs, based in Peachtree Corners, Georgia, offers the RAC (R2 Autonomy Controller), a product designed to modernize legacy equipment. By integrating advanced technologies such as AI vision and robotics, the RAC enables manufacturers to access cutting-edge industrial capabilities, which is crucial for maintaining competitiveness in the evolving market. Listeners should keep an eye on the developments in software-defined manufacturing as it continues to reshape factory operations. The integration of smart technologies like the RAC could lead to significant improvements in efficiency and productivity. No further timeline was disclosed at the time of publication.
Artificial Intelligence Controllers Design / Development Manufacturing News Opinion
Siemens Executive Highlights Semiconductors as the Core of Humanoid Robot Intelligence
Siemens Semiconductor Vice President Michael Mancy emphasized that the true essence of humanoid robots lies not in their physical appearance but in the semiconductors that enable their functionality. These robots must process real-time sensor data, run AI models, and coordinate joint movements simultaneously, requiring a robust semiconductor computing platform to avoid being mere 'puppets'. Mancy pointed out that humanoid robots are fundamentally software-defined systems, with their capabilities stemming from the integration of software, electronics, and mechanics rather than just mechanical hardware. The intelligence of these robots must extend to safely responding to various situations, necessitating advanced physical AI that coordinates perception, feedback, and actuation, which is significantly more complex than executing a large language model. As AI workloads increase on processors, heat management becomes critical, especially in high-temperature and electrically noisy factory environments. Mancy proposed heterogeneous integrated circuits as a solution, allowing multiple chips to be stacked in one package to optimize thermal performance. He also highlighted the importance of digital twins for modeling and validating humanoid systems before physical construction, enabling engineers to test software and hardware collaboratively and share verified improvements across fleets, ensuring continuous evolution and reliable operation in real-world environments.
Humanoid Robots Semiconductors AI Digital Twins Industrial Automation
Data-Driven Quality Control Enhances Manufacturing by Preventing Costly Defects
Data-driven quality control is transforming modern manufacturing by identifying variations in processes before defects occur. This proactive approach allows teams to monitor conditions that lead to nonconforming parts, reducing scrap, rework, and delivery pressures while maintaining quality costs. The significance of this method lies in its ability to shift from reactive to proactive quality control. By focusing on process changes rather than merely sorting defective products, manufacturers can prevent issues before they escalate, ultimately protecting production capacity and minimizing hidden costs associated with defects. Looking ahead, the integration of statistical process control (SPC) will be crucial for operators and engineers. By training teams to read control charts and understand process capability, manufacturers can ensure stable processes that meet specifications, thus avoiding the costly errors of mismanaging process variations.
Computing Digital Automation Manufacturing Software continuous improvement data-driven quality control
Doctoral Graduate Establishes Lingxi Zhiyong to Transform Industrial Embodied Intelligence
Recently, Duan Yifan, a doctoral graduate from the University of Science and Technology of China, announced the establishment of Lingxi Zhiyong in Shanghai, aimed at revolutionizing industrial embodied intelligence. The company has developed the ROSS Harness system, which integrates the ROSS and CONWAY industrial models to address the engineering challenges of deploying embodied intelligence in real production lines. The significance of this development lies in the fact that the deployment success rate of pre-trained models in actual production environments is generally below 60%, with operational costs remaining high. Lingxi Zhiyong's ROSS Harness system is designed to convert probabilistic action generation capabilities into stable, controllable, and reusable execution abilities in the physical world, thus enhancing the reliability of industrial robots. Looking ahead, Lingxi Zhiyong plans to refine its technology further, focusing on the continuous execution of tasks despite changing conditions. The company aims to establish a robust framework for task execution that includes model abstraction, skill abstraction, and layered safety monitoring. No further timeline was disclosed at the time of publication.
Industrial Robotics Embodied Intelligence Automation Technology Robotic Systems
Integrating RFID and Machine Vision Enhances Automation Efficiency
The integration of RFID and machine vision with robotics is driving significant operational improvements in automation. This coordinated approach allows for enhanced tracking and monitoring of assets, leading to more efficient processes and reduced errors in operations. The importance of this integration lies in its ability to streamline workflows and improve data accuracy, which are critical for modern manufacturing and logistics. By leveraging these technologies, companies can achieve greater visibility and control over their operations, ultimately leading to cost savings and increased productivity. Looking ahead, the continued adoption of RFID and machine vision in automation will be crucial for businesses aiming to stay competitive. No further timeline was disclosed at the time of publication.
Pudu Robotics Introduces MP2000 Autonomous Forklift for Efficient Material Transport
Pudu Robotics has launched the MP2000, an AI-powered autonomous forklift designed for efficient floor-to-floor material transport in warehouses and factories. This new model features pallet pickup cycles as quick as 20 seconds, enhancing the company's portfolio of autonomous mobile robots (AMRs) for high-frequency, heavy-payload transport in busy logistics environments. The MP2000 is equipped with advanced 3D lidar and depth cameras, allowing it to identify pallet locations and adjust its approach in real time. This capability ensures safe navigation through facilities, avoiding obstacles while validating pallet sizes and configurations. The MP2000 supports various pallet formats and adapts to non-standard load carriers, making it versatile for different operational needs. As part of a distributed fleet, the MP2000 can coordinate with other Pudu Robotics AMRs, enhancing overall efficiency. It also features a manual operator override for use as a powered manual forklift. The vehicle's ability to communicate with peripheral equipment like doors and elevators further streamlines access to controlled areas within facilities. No further timeline was disclosed at the time of publication.
Automated Warehouse Autonomous Mobile Robots (AMRs) Logistics Manufacturing News Pudu Robotics
Challenges in Real-World Implementation of Embodied Intelligence and Robotics
The robotics industry faces significant challenges in transitioning from simulation to real-world applications. While new models and capabilities are frequently demonstrated, many teams struggle with engineering tasks such as kinematics adaptation, sensor calibration, and data synchronization. This gap highlights the need for a unified, stable, and reusable physical validation platform to prevent resource wastage in development. The importance of real-world validation cannot be overstated, as complex factors like collisions and sensor noise cannot be fully modeled in simulations. A reliable physical platform is essential for ensuring consistent kinematic models and control responses, allowing teams to focus on algorithm improvements rather than hardware adjustments. The industry requires a robust platform that is stable, reliable, and open to support various research teams. The TA2 platform from Lingyu Intelligent is a noteworthy example, having demonstrated its capabilities in a competitive setting. It combines remote operation with validated performance in real-world tasks, proving its reliability as a physical base for algorithm testing. This platform could serve as a dependable benchmark for model teams, providing a consistent foundation for performance evaluation and innovation.
Embodied Intelligence Robotics Physical Platforms Data Collection Automation
First Humanoid Robot Achieves Autonomous Table Tennis Match at 2026 World Robot Conference
On August 19, the 2026 World Robot Conference opened in Beijing, featuring the world's first humanoid robot capable of completing an autonomous table tennis match. This milestone, achieved by Chao Wei Power, showcases significant advancements in the robot's perception, decision-making, and control capabilities in high-speed dynamic environments. The importance of this achievement lies in its demonstration of the robot's ability to respond to fast-moving and unpredictable table tennis scenarios, with a reaction time measured in milliseconds. The SMASH 2.0 system integrates high-speed visual perception and real-time trajectory prediction, enabling the robot to autonomously serve and return balls with coordination and adaptability comparable to human athletes. Looking ahead, Chao Wei Power's innovations, including the KAIBot with 117 degrees of freedom and the KAI Hand for fine manipulation, will continue to evolve. No further timeline was disclosed at the time of publication.
Humanoid Robots Table Tennis Robotics AI Technology Robotics Innovation
