J-MEX Inc. 晶鑫科技股份有限公司
"Motion Intelligence Platform"
Taiwan MEMS innovator specializing in 3D motion tracking, inertial motion capture, and human-motion sensing solutions.
J-MEX Inc. was established in January 2006 at Hsinchu Science Park, Taiwan. The company is a leading MEMS (Micro-Electro-Mechanical System) applications innovator specializing in 3D motion tracking technology, motion sensing products, and related services. J-MEX develops full-body inertial motion capture systems under the MOXI brand (moxisens.com), bridging human motion data and robotic control.
Product lines include MOTi for body movement analysis, BikeSpark for cycling safety, and eLevel precision measurement tools. The company serves industrial control, consumer electronics, and medical rehabilitation markets, offering complete solutions from hardware sensors to algorithm design and data analysis software.
Primary type & automation activities this supplier delivers:
AgileMaster
IMU-based humanoid teleoperation and MoCap platform collecting structured human motion data for cobot/humanoid VLA training and Isaac GR00T workflows.
MOXI MoCap Suit
Motion-capture suit delivering professional-grade motion synchronization with millisecond precision for virtual creators, VR gaming and immersive experiences.
eLevel
Instrument for quick, accurate measurement of gradients, inclinations, tilts and bevels, giving stable readings for semiconductor and industrial use.
Contact J-MEX Inc.
WEBSITE
https://jmex.com.twPHONE
-819HEADQUARTERS
Taiwan
Company Facts
Founded
2006
Primary Role
Component Supplier
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
-
Funding Total
-
ZhiYuan Unveils AGILE 2.0: Transforming Robotic Vision and Motion Capabilities
ZhiYuan has launched the AGILE 2.0 model, known as the AGIBOT Generative Intelligent Locomotion Engine, enabling robots to perceive, plan, and move with human-like agility. The innovative short film 'Acrobat BOT' showcases the robot's ability to perform complex tasks, such as jumping through fire hoops and balancing on a ball, demonstrating the advanced capabilities of AGILE 2.0. This development is significant as it addresses the challenges of synchronizing visual perception and motor control in robotics. While previous models struggled with dynamic coordination, AGILE 2.0 integrates environmental observation, terrain understanding, and full-body motion control into a cohesive system, allowing for real-time planning and execution. Looking ahead, AGILE 2.0's advancements in visual perception and dynamic interaction mark a pivotal shift in humanoid robotics, enabling operations in unstructured environments. No further timeline was disclosed at the time of publication.
Robotic Vision Intelligent Locomotion AI Robotics Dynamic Motion Control
Examining the Origins of Haptic Sensing Technology and Its Development Challenges
In the field of robotic haptic sensing, significant breakthroughs have emerged from years of technical accumulation and engineering capabilities. Leading haptic sensor companies have focused on multi-dimensional tactile perception, high-precision torque calculation, and heterogeneous array calibration, establishing a comprehensive intellectual property system. Their efforts have demonstrated that there are no shortcuts in haptic sensing; each aspect must be meticulously developed to create truly usable products. The emergence of new companies in 2026, which quickly introduce concepts like 'magnetized flexible materials' and 'exclusive replaceable electronic skin,' raises concerns. While their product images appear polished and their technical jargon comprehensive, comparisons with open-source projects like ReSkin and AnySkin reveal significant similarities in magnetic circuits, PCB designs, and algorithms. This suggests that some newcomers are attempting to simplify the complex development process into mere replication of existing technologies. To understand the implications of 'open-source rebranding,' it is essential to clarify the technological lineage of ReSkin, AnySkin, and eFlesh. The foundational work by Waseda University's Sugano Laboratory laid the groundwork for magnetic tactile skin technology, influencing subsequent developments by Meta AI and NYU. As these technologies evolve, the focus on low-cost, modular manufacturing continues to shape the future of haptic sensing applications.
Haptic Sensors Open Source Technology Robotics Innovation Technology Transparency
Inbolt CEO to Address Physical AI Deployment Challenges at RoboBusiness 2023
Inbolt's CEO Rudy Cohen will present at RoboBusiness on October 20-21, discussing the deployment challenges of physical AI in robotics. He argues that the real bottleneck lies in the integration between perception and motion, rather than data availability. Cohen's insights are based on experiences from over 100 factories and extensive production data from major automotive companies. The significance of this discussion is underscored by Inbolt's innovative approach to robotics, which combines vision and AI to enhance manufacturing processes. By addressing the integration tax and improving real-time control, Inbolt aims to streamline deployments that currently incur high costs and lengthy timelines. Cohen's presentation will challenge prevailing assumptions about the limitations of physical AI. Looking ahead, attendees of RoboBusiness can expect to gain valuable insights into the practical applications of physical AI in manufacturing. Cohen's talk will highlight how existing production data can demonstrate the commercial viability of physical AI, potentially reshaping industry perspectives on its deployment. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Design / Development Events News Inbold
Suoteng Juchuang Advances Digital Laser Radar for Mass Production at IFA
Suoteng Juchuang has unveiled multiple digital laser radars at the IFA, signaling a move towards mass production applications. This development highlights the company's commitment to advancing technology in the field of digital laser radar, which is crucial for various industries. The introduction of these digital laser radars is significant as it reflects the growing demand for advanced sensing technologies in automation and robotics. Suoteng Juchuang's innovations could enhance operational efficiency and accuracy in applications ranging from industrial automation to smart vehicles. Looking ahead, industry stakeholders should monitor Suoteng Juchuang's progress in scaling production and the potential adoption of its digital laser radar technology across different sectors. No further timeline was disclosed at the time of publication.
Robotics Automation AI
Monumental's CEO Discusses Robotics Potential in Construction Industry
In a recent episode of Lexicon, Salar al Khafaji, founder and CEO of Monumental, highlighted the overlooked potential of robotics in the construction industry. He emphasized the challenges of deploying autonomous robots on unpredictable building sites and the need for specialized machines to address rising construction costs and housing shortages. Al Khafaji pointed out that construction has not received the technological attention it deserves, despite its significant economic and social impact. He believes that the industry is vast and underappreciated by tech founders, which is why he pivoted from data visualization to focus on tangible impacts in construction. Monumental has developed autonomous robots capable of transporting materials and constructing brick walls on commercial sites. However, al Khafaji noted that real-world deployment presents unique challenges, such as varying environmental conditions that affect sensors and computer vision systems. No further timeline was disclosed at the time of publication.
AI and Robotics Innovation
Emerging 2D Flex Feeding Revolutionizes Industrial Part Picking with Simplified Vision Systems
The article discusses the advancements in 2D Flex feeding technology, which simplifies robotic vision for industrial part picking. Unlike traditional 3D bin picking, this new approach allows for quicker and more reliable implementations, making it accessible for a broader range of applications. This innovation is significant as it enhances the capabilities of industrial robots in manufacturing, reducing the complexity associated with advanced vision systems. Experts Nicholas Kern from SICK and Nick Barron from Feedall highlight the advantages of flex feeding over bowl feeding, showcasing early adopters who are already experiencing substantial benefits. Looking ahead, the future of feeding robots appears promising with the integration of smarter vision systems. As this technology continues to evolve, it will be essential to monitor its adoption and impact on manufacturing efficiency and productivity. No further timeline was disclosed at the time of publication.
Factory / Robotics
Dyson Introduces Nurovi Robot Cleaners and First Oral-Care Device with AI Vision
Dyson has unveiled a new family of robot cleaners named Nurovi and its first oral-care device, CameraJet, at the Dyson Unveiled event in Berlin. This marks a significant shift towards appliances that utilize artificial intelligence, vision systems, and sensor-based automation to interpret and respond to their environments. The introduction of the Nurovi robot cleaners, which includes three models with advanced cleaning mechanisms, highlights Dyson's commitment to moving beyond traditional mechanical performance. The r2 Nurovi Wash+Dry features a triangular rotating mop and real-time dust particle measurement, while the r3 Nurovi Spot+Scrub UV employs AI for stain detection and enhanced suction capabilities. Looking ahead, Dyson aims to integrate AI and machine learning across its product lines, including oral care and home appliances. No further timeline was disclosed at the time of publication.
All News
Lyte Secures $165 Million in Series C Funding to Enhance Robot Sensing Capabilities
Lyte AI Inc. has successfully raised $165 million in Series C funding, achieving a post-money valuation of $1.6 billion. Founded in 2021, the Sunnyvale-based company specializes in designing processors, multimodal sensors, and software that enable robots to accurately perceive their surroundings. This funding will accelerate the deployment of LyteVision, their perception platform, into various robotics applications. The significance of this funding round lies in Lyte's innovative approach to solving the sensing challenges faced by robots. According to co-founder and CEO Alexander Shpunt, the company focuses on creating a comprehensive perception foundation, from custom silicon to spatial data generation. With this investment, Lyte aims to expand its reach across industries such as inspection, logistics, and manufacturing, where accurate sensing is crucial for operational safety and efficiency. Looking ahead, Lyte plans to significantly grow its workforce, hiring across multiple domains including silicon, software, and operations. The company has already raised a total of $272 million since its inception and is poised to become a key player in the robotics sector, as indicated by the strong demand for its technology from early customers. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Design / Development Financial Investments News
World Labs Launches Atlas World Model for 3D Environment Simulation
World Labs has unveiled Atlas, a new world model aimed at generating, reconstructing, and simulating 3D environments. This model supports Real-to-Sim workflows, allowing robots to navigate and manipulate spaces reconstructed from images or videos. Atlas can create RGB and depth data that robots would encounter, enhancing their operational capabilities. The introduction of Atlas is significant as it enables developers to recreate interactions with various objects and simulate different training scenarios. By using a limited number of real-world recordings, Atlas can generate complex environments, which is crucial for advancing robotic applications. This multimodal model combines text, images, video, and 3D information, providing a comprehensive tool for robotics and beyond. Looking ahead, Atlas is entering early access with select partners and will also enhance future versions of World Labs' Marble world-generation product. The capabilities of Atlas in producing explicit 3D outputs and supporting diverse applications will be key areas to monitor as the technology evolves.
AI AI Use Cases Robotics Atlas real-to-sim World Labs
Leading Research Institutions Unite to Advance Soft Robotics and Physical AI
In recent years, advancements in large models have enhanced machines' language, visual, and reasoning capabilities. Concurrently, robotics is transitioning from traditional rigid systems to more flexible, perceptive forms. A significant intersection is emerging between Physical AI and Soft Robotics, prompting a shift in focus towards integrating materials, structures, mechanics, and perception systems into robotic intelligence. In 2026, the prestigious journal ACS Nano will publish a collaborative article by 37 scientists from 28 global research institutions, including Nanyang Technological University, Hebrew University of Jerusalem, MIT, ETH Zurich, Tsinghua University, Cornell University, and Northwestern University. The article, titled "Emerging Frontiers and Technological Challenges in Soft Robotics," will explore the paradigm shift in soft robotics and outline key scientific questions and technological challenges for the future. This article not only serves as a roadmap for soft robotics technology but also points towards a broader future of Embodied Physical Intelligence, where the body itself becomes part of the intelligence. The research framework connects fundamental scientific questions with cutting-edge studies in soft robotics, focusing on issues related to intelligence, perception, functionality, and adaptability, which are crucial for overcoming key technical challenges in deployment and integration.
Soft Robotics Physical AI Adaptive Systems Machine Learning Biomimicry
Handbook of Marine Craft Hydrodynamics and Motion Control Thor I. Fossen — RSF Specialist Shelf · Book S1 of 6
Added mass, wave loading, DVL navigation: the marine GNC reference for USV, ROV and AUV service engineers. The hardest book on the RSF list, 5/5.
Small Unmanned Aircraft: Theory and Practice Beard & McLain — RSF Specialist Shelf · Book S2 of 6
Beard & McLain derive the fixed-wing autopilot the RSF Top 10 never does: successive loop closure on roll, pitch, altitude and airspeed. 4/5.
Underactuated Robotics Russ Tedrake — RSF Specialist Shelf · Book S3 of 6
Legged robots fall over for control reasons, not mechanical ones. Tedrake's free MIT 6.832 notes explain why, and what a controller must do about it.
Planning Algorithms Steven M. LaValle — RSF Specialist Shelf · Book S4 of 6
The reference that treats planning as a subject in its own right: configuration space, sampling-based methods, RRT. Free online, dual difficulty 4/5-2/5.
Reinforcement Learning: An Introduction Richard S. Sutton & Andrew G. Barto — RSF Specialist Shelf · Book S5 of 6
“It's the AI” will not satisfy an OEM support call. Sutton & Barto turn that into something a service engineer can investigate. Free PDF, Part I 4/5.
Robotics: Modelling, Planning and Control Siciliano, Sciavicco, Villani & Oriolo — RSF Specialist Shelf · Book S6 of 6
Siciliano's single-narrative counterpart to the Springer Handbook: kinematics through force control and visual servoing in one consistent notation. 4/5.
Introduction to Robotics J. J. Craig — RSF Top 10 Robot Education Textbooks · No. 6
Six of ten benchmark universities teach kinematics from Craig. Frames, transforms and D-H parameters: the language vendor manuals already speak.
Probabilistic Robotics Thrun, Burgard & Fox — RSF Top 10 Robot Education Textbooks · No. 7
An AMR that lost localization broke nothing you can touch. Thrun explains Layer 4 faults: belief, Bayes filters, SLAM. Budget 12-15 hours.
Modern Robotics K. M. Lynch & F. C. Park — RSF Top 10 Robot Education Textbooks · No. 8
The book the field agreed to make free: full preprint PDF, video lectures and open code from the authors. Screw theory and kinematics, taught rigorously.
A Gentle Introduction to ROS Jason M. O’Kane — RSF Top 10 Robot Education Textbooks · No. 9
Most ROS material is for people who build systems. O'Kane wrote for people who must understand one: nodes, topics, where to look. Free, 10-12 hours.
