Axiomtek Co., Ltd. 艾訊股份有限公司
Taiwan-based industrial computing and embedded systems manufacturer providing edge AI, machine vision, and AMR computing platforms.
Axiomtek Co., Ltd., founded in 1990 and headquartered in New Taipei City, Taiwan, is a leading designer and manufacturer of industrial computers and embedded systems. The company offers single board computers, embedded systems, industrial PCs, panel PCs, machine vision platforms, edge AI GPU computing systems, and medical-grade computing hardware. Axiomtek supports robotics through solutions such as the ROBOX300 AMR controller integrating advanced edge AI computing for smart manufacturing and logistics.
With ISO 9001, ISO 14001, and ISO 13485 certifications, Axiomtek serves factory automation, intelligent transportation, medical, and AIoT markets through a global network spanning more than 40 countries.
Primary type & automation activities this supplier delivers:
ROBOX300 AMR Controller
Edge AI computing controller for autonomous mobile robot deployment in smart manufacturing and logistics.
Contact Axiomtek Co., Ltd.
WEBSITE
https://www.axiomtek.comPHONE
02-86462111HEADQUARTERS
Taiwan
Company Facts
Founded
1990
Primary Role
Component Supplier
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
-
Funding Total
-
Boston Dynamics Introduces Industrial-Style Head for Atlas Robot Design
Boston Dynamics has redesigned its Atlas robot, incorporating an industrial-style head instead of human-like features. Mechanical engineer Taylor Frey-Baker emphasized that Atlas is intended for industrial environments, thus its appearance should reflect that purpose. The head lacks facial features and includes light rings that communicate the robot's operational status and intentions to nearby workers. This design choice is significant as it prioritizes safety and efficiency in shared workspaces. The head's lighting interface provides immediate visual cues about Atlas's actions, reducing ambiguity in industrial settings. The robot is equipped with HDR stereo cameras that enhance environmental perception, allowing operators to navigate challenging lighting conditions effectively. Looking ahead, the integration of the head as a sensor carrier and status indicator positions Atlas to work safely and predictably alongside human workers in factories and warehouses. No further timeline was disclosed at the time of publication.
Industrial Robots Robot Design Automation Technology Safety Systems
Unitree Introduces Enhanced G1+ Humanoid Robot Featuring Six Key Upgrades
Unitree has unveiled the G1+, an upgraded version of its G1 humanoid robot, featuring six significant enhancements in motion performance, perception, interaction, and endurance. The standard model is priced at RMB 95,000 in China, while the G1+ EDU version is available upon request through sales channels. The G1+ introduces two additional neck degrees of freedom, increases peak shoulder and waist motor torque by 110%, and boosts maximum arm torque by 43%, all while reducing heat generation at the same torque levels. These upgrades enhance the robot's operational capabilities, making it more versatile for various applications. Looking ahead, the G1+ is expected to attract interest in educational and research settings due to its advanced features, including a binocular-plus-wide-angle vision system, head touch sensing, external power support, a six-microphone array, and dual 10-watt speakers. No further timeline was disclosed at the time of publication.
News Feed
University of Southern Denmark Develops Touch-Based Robot Inspired by Star-Nosed Moles
The University of Southern Denmark's robotics team has proposed a concept robot that relies on touch rather than vision, inspired by the star-nosed mole. This mammal is known for its exceptional tactile sensitivity, using its unique nose structure to detect food with remarkable precision. The team's design mimics the functionality of the mole's Eimer organs, which are sensitive structures that allow the mole to perceive its environment through touch. This innovative approach is significant as it addresses the limitations of visual-based robotics, which struggle with transparent, obscured, or hidden objects. By utilizing a flexible liquid-filled tube equipped with pressure sensors, the robot can generate tactile signals in response to external pressure, offering a different sensory pathway compared to traditional visual systems. This could be particularly valuable for robots operating in dark or confined spaces where vision is inadequate. Currently, the prototype remains in the conceptual stage and has not been officially released. However, it signifies a shift towards multimodal perception in robotics, complementing visual information with tactile feedback. As robots are expected to navigate various unstructured environments, the integration of touch could enhance their operational capabilities, similar to the evolutionary adaptations seen in star-nosed moles.
Robotics Tactile Sensors Artificial Intelligence Sensor Technology
Faraday Future's Chris Chen Discusses Robotics as an Extension of Intelligent Vehicles
Faraday Future, primarily recognized as an electric vehicle manufacturer, is expanding its technological applications to include robotics. The company emphasizes that various technologies initially developed for intelligent electric vehicles, such as artificial intelligence, computer vision, and sensor fusion, are highly relevant to robotic systems. This shift is significant as it highlights the versatility of Faraday Future's technology base, suggesting that advancements in electric vehicle technology can drive innovation in robotics. By leveraging their expertise in localization, connectivity, and simulation, the company aims to enhance the capabilities of robots, potentially transforming multiple industries. Looking ahead, it will be important to monitor how Faraday Future integrates these technologies into robotic applications and the impact this may have on both the automotive and robotics sectors. No further timeline was disclosed at the time of publication.
Artificial Intelligence Automotive Features Robotics AIxCrypto artificial intelligence
Kazakhstan Police Utilizes Robotic Dogs for Patrol at Nomad Alemi Festival
During the Nomad Alemi cultural festival in Ulan District, Kazakhstan, police deployed robotic dogs for actual patrol duties. This marks the first time robotic systems have been used for maintaining public order at a large event in the region. The robotic dogs can autonomously patrol designated areas, conduct continuous video surveillance, perform video analysis, and recognize faces, relaying real-time information back to the operations control center. The deployment of robotic dogs is significant as it addresses the challenge of limited police presence at large events while needing to monitor numerous points. These robots can cover areas not reachable by fixed cameras and can navigate through crowds, enhancing public safety. The East Kazakhstan police emphasized that these robotic systems are now part of the region's digital security framework, moving from trial and demonstration to regular operational use. Looking ahead, the capabilities of facial recognition integrated into the robotic dogs raise important questions regarding data retention, comparison permissions, and error handling. While the current deployment is limited in scale and focused on controlled environments, it provides a sample for observing the role of robotic dogs in public safety. Future developments will reveal whether this model expands to routine street patrols and how the data collected will integrate into broader security networks.
Robotic Dogs Public Safety Surveillance Technology Law Enforcement AI
Growing Demand for Robot Electronic Skin: Market Insights and Projections
The demand for electronic skin in humanoid robots is projected to reach 1.525 million square meters by 2030, with a market size of approximately 27.4 billion yuan. This shift indicates that electronic skin is transitioning from experimental samples to regular procurement items, as evidenced by a company receiving 13,000 orders for biomimetic skin in June alone. The significance of this demand lies in the evolving role of electronic skin, which enhances robots' capabilities in unstructured environments where visual data alone is insufficient. High-performance electronic skin, which collects various physical attributes, is essential for training models to understand object interactions, making it a critical component for robots operating in real-world scenarios. As humanoid robot manufacturers begin small-scale deliveries, the increase in electronic skin orders aligns with this trend. However, the integration of electronic skin with the design of the robots presents challenges, as factors like finger size and sensor layout must be collaboratively defined. The anticipated increase in demand and decrease in price hinges on the manufacturers' production capacity and the ability of electronic skin companies to maintain tactile precision while reducing costs.
Humanoid Robots Electronic Skin Tactile Sensors Robotics Technology
AGIBOT Introduces AGILE 2.0 for Enhanced Perception in Humanoid Robots
AGIBOT has unveiled AGILE 2.0, a sophisticated framework designed for perception-driven locomotion and comprehensive control in humanoid robots. This new system allows for real-time modifications to movement and manipulation based on environmental feedback, significantly enhancing robot adaptability. The introduction of AGILE 2.0 is significant as it showcases AGIBOT's commitment to advancing robotic capabilities. The framework was demonstrated with AGIBOT X2 robots executing intricate tasks, illustrating their enhanced ability to coordinate and adapt in dynamic real-world environments. Looking ahead, the industry will be keen to observe how AGIBOT's AGILE 2.0 framework influences the development of humanoid robots and their applications. No further timeline was disclosed at the time of publication.
robotics AI humanoid robots automation technology
MIT Researchers Develop New AI Technique for Safety-Critical Applications
MIT researchers have introduced a novel method that enhances generative artificial intelligence models for high-stakes problem-solving. This technique allows models to generate outputs that not only provide plausible solutions but also adhere to strict safety and task-specific requirements, known as hard constraints. By allowing more freedom during the generation process and enforcing constraints only on the final output, the method consistently delivers better solutions across various applications, including robotics and computer vision. The significance of this development lies in its potential to improve the reliability of AI in safety-critical environments. Traditional methods often struggle to balance the generative capabilities of AI with the necessity of meeting stringent safety standards. The new approach enables pretrained generative models to be adapted for use in scenarios where compliance with safety rules and physical laws is essential, thus expanding their applicability in real-world situations. Looking ahead, the adaptability of this technique suggests a promising future for generative AI in complex environments. As industries increasingly rely on AI for tasks like robot path planning, the ability to enforce hard constraints without compromising output quality will be crucial. No further timeline was disclosed at the time of publication.
Research Computer science and technology Artificial intelligence Machine learning Algorithms Mechanical engineering
SegCert-PCR: Certifiable Point Cloud Registration for Ground Segmentation in Unstructured Environments
The Journal of Field Robotics has published an early view article on SegCert-PCR, a method for certifiable point cloud registration focused on ground segmentation in unstructured field environments. This innovative approach addresses the challenges of accurately registering point clouds, which is crucial for various robotic applications in unpredictable terrains. The significance of SegCert-PCR lies in its potential to enhance the reliability and safety of robotic systems operating in complex environments. By ensuring certifiable registration of point clouds, this method can improve the performance of robots in tasks such as navigation, mapping, and environmental monitoring, where precision is paramount. Looking ahead, the adoption of SegCert-PCR could lead to advancements in robotic technologies that require robust ground segmentation capabilities. As the field of robotics continues to evolve, monitoring the implementation and effectiveness of this method will be essential for future developments in autonomous systems. No further timeline was disclosed at the time of publication.
RESEARCH ARTICLE
Tokyo University Innovates Artificial Skin for Enhanced Joint Angle Sensing in Robots
Tokyo University's research team has developed an artificial skin that enables robots to accurately sense joint angles through its deformation. This bionic skin, designed with a tissue-like layered structure, was tested on the Musashi-W humanoid robot. The results indicated that the average estimation error for joint angles could be maintained within approximately 3 degrees, and further accuracy was achievable by integrating skin and muscle information. This advancement is significant as traditional muscle-driven humanoid robots face challenges in measuring joint angles directly, unlike conventional robotic joints that utilize encoders. Current methods rely on limited sensors, such as muscle length and tension sensors, to infer joint angles. The research team's approach mimics biological structures by embedding numerous small sensors within soft tissues, enhancing the robot's ability to discern between external disturbances and internal state changes. Moving forward, the integration of these sensors into robotic systems could revolutionize how robots perceive their own movements and interactions with the environment. No further timeline was disclosed at the time of publication.
Humanoid Robots Proprioception Biomimetic Technology Robotic Sensors
Software, Compute and Interaction at WRC 2026
47 WRC 2026 exhibitors supply robot software, compute or interaction — but only 19 call themselves software companies. Five open artefacts, licence-checked.
WRC 2026 Core Components: 137 Robot Parts Suppliers
The third report in the WRC 2026 series. Report 1 mapped all 248 exhibitors by category and Report 2 covered the 139 that build finished robots. This one covers the 137 that build what goes inside them.
WAIC Review 1/4: Embodied AI's Industrialization Wave: Financing Data, Unit Economics, and a Widening Split
China's embodied AI sector raised $12.5B in H1 2026, but WAIC 2026 speakers detailed ROI demands, power bottlenecks, and the mass-production-to-sales gap.
WAIC Review 4/4: From Port AGVs to Hospital Night Shifts: What WAIC 2026 Reveals About Real Robot Deployments
From 530+ AGVs at a Singapore port to robots on Apple's line, WAIC 2026 speakers shared concrete data on where embodied AI robots are actually working today.
US Restrictions on Chinese Humanoid Robots: The Full Map
Every US restriction on Chinese humanoid robots — NDAA Sec. 163, GUARD Act, the 1260H list — plus the supply-chain math and a 4-tier map of decoupling.
WAIC 2026: Embodied Intelligence Enters Industrial Deployment Era
WAIC 2026 in Shanghai (July 17–20) saw 200+ embodied intelligence companies, 300+ live robots, and first confirmed humanoid deployments in logistics and pharmacy. RobotToday engineering analysis.
When a Materials Giant Meets Robotics: Covestro at Automate 2026
At Automate 2026, Covestro brought Makrolon, Bayblend, Baysafe BEF and Vulkollan to robotics — tackling weight, heat, sensing and sustainability for humanoids and AGV/AMRs.
The EV Déjà Vu: Why China's Humanoid Robot Blitz May Be Winning the Battle — but Losing the War
China controls 80% of humanoid robot shipments and crushes hardware costs. But is winning the body enough? A deep analysis of the US-China robot war beyond the EV analogy.
ROBOTTODAY Weekly June 23 – 27, 2026
This week in robotics: Agility Robotics $2.5B SPAC deal for first humanoid IPO, BMW Figure 03 logistics deployment, Morgan Stanley doubles China humanoid forecast, ON Semiconductor acquires Synaptics for $7B, Sony halts aibo in Japan. June 23–27, 2026.
Taiwan Excellence Pavilion at Automate 2026: 23 Companies Showcase Edge AI and Robotics
Taiwan Excellence Pavilion brings 23 certified companies to Automate 2026 in Chicago (June 22–25), showcasing edge AI, collaborative robots, precision motion and industrial computing solutions for U.S. smart manufacturing.
