We have a partner specializing in artificial intelligence and embodied intelligence. By integrating its in-house developed products with technologies from Baidu, NVIDIA, and Huawei, the enterprise provides advanced GPU/NPU computing platforms, digital-twin robot simulations, and AI training environments for institutions of higher education.

 

In preparation for the RoboCom Developer Competition (RAICOM), the enterprise recognized our strengths in deep customization—including configuration adjustments, function simplification, and design optimization—supported by high-quality mass production and robust technical assistance. These capabilities aligned perfectly with their requirements.

 

Based on their design concepts, we customized 20 units of the X1-6, a dual 6-axis wheeled humanoid robot derived from our Mercury X1 platform with dual 7-axis robotic arms. Optimized for education and competition, the TuringStack X1 delivers stable performance while significantly reducing costs.

 

These robots were deployed in the RAICOM AI Robot Innovation Challenge, where students from over 20 high schools, 30 vocational schools, and 50 universities gained hands-on experience with humanoid robots. Outstanding teams received certificates, motivating participants and raising interest from embodied intelligence labs, many of which later adopted humanoid robots for algorithm research and learning.

 

Through this competition-driven adoption model, our partner now offers universities and labs a complete robotics education solution—combining hardware, case studies, operation manuals, and both online and offline training. This initiative effectively bridges educational needs and innovative technology, advancing embodied intelligence in education.

One of our partners, specializing in intelligent robotics and AI, leverages strong R&D expertise from leading research institutions to develop advanced robotic systems. The enterprise actively supports universities through academic programs, competitions, research projects, and industry-academia collaboration, with the goal of cultivating future robotics talent.

 

With deep expertise in AGVs, the enterprise has participated in major competitions such as the RoboCom Developer Competition (RAICOM) and the Chinese Collegiate Computing Competition, while also organizing three robotics contests of its own. Seeking a reliable hardware platform for its future projects, it selected our 4-DOF palletizing stepper arm, ultraArm, for its seamless integration with robotic vehicles and Baidu’s AI Studio PaddlePaddle platform—making it an ideal foundation for next-generation compound mobile robots. From 2023 to 2025, the enterprise procured 70 units of robots to develop compound mobile picking robots.

 

At the 2023 Future Agricultural Robotics Challenge, 47 university teams from across China—each composed of 2–5 undergraduates—competed using these compound mobile picking robots to complete real-world agricultural tasks, including autonomous navigation, mapping, fruit recognition, and delivery. The first prize was awarded to Nanjing Vocational University of Industry Technology (NJUIT).

 

This solution not only enhances university innovation competitions but is also integrated into robotics curricula, enabling scenario-based courses in ROS development, natural language processing, and mobile robotics—bridging theory with hands-on practice.

One of our partners, with strong expertise in R&D, manufacturing, and global distribution, is dedicated to lowering barriers to innovation by delivering practical, user-friendly solutions that simplify robotics learning and reduce teaching complexity for both students and educators.

 

To strengthen university robotics programs and advance hands-on teaching, the enterprise developed the AI-powered 7-axis cobot JetCobot, designed specifically for educational use. During market research, the enterprise identified our myCobot as the ideal foundation due to its reliable performance, open-source ecosystem, scalable production, and cost-effectiveness. To date, it has procured more than 750 units of ER's robots.

 

Around JetCobot, the enterprise has built a comprehensive educational ecosystem, including structured hardware courses, programming control software, and a dedicated online learning platform. These resources support a wide range of users—from students and educators to developers—making robotics education more practical and accessible. JetCobot is widely recognized for its versatility, ease of use, and real-world applicability.

 

This collaboration reflects the growing demand for flexible, scalable robotics tools in education and showcases how open, collaborative innovation can accelerate the future of STEM learning and undergraduate education.

A high-tech partner in Taiwan is advancing AI and robotics education, with deep expertise in Arduino, maker education, and robotics competitions. The enterprise delivers comprehensive educational solutions spanning hardware and software to support AIoT teaching and applications.

 

To date, the enterprise has procured nearly 200 ER's cobots—including myCobot, mechArm, and myCobot Pro—along with robotic accessories. Integrated into their PLC systems, these robots are widely used in classroom instruction, recruitment demonstrations, and competitions, helping cultivate the next generation of engineers while promoting innovative educational solutions.

 

The enterprise organizes annual training camps featuring hands-on robotic arm courses centered on educational cobots, enabling students to explore Python, ROS, IoT, and AI voice control. In collaboration with Taipei City University of Science and Technology and the Chunghwa Science and Technology Education Association, it also hosts the Industry 4.0 Robotics Competition. Students from leading high schools and universities work in teams of four per robot to complete automation tasks, with awards presented for top performers and best innovations.

 

Additionally, it showcased the myCobot Pro at Autonomous Mobile Robot & Logistics Week 2022, attracting significant attention from educators and students. These initiatives demonstrate its commitment to practical robotics education and nurturing future engineering talent.

Our Korea-based partner, a leading international hardware accelerator, plays a key role in South Korea's maker and startup ecosystem. In line with the 2024 national policy promoting robotics education and supported by the Suwon City government, the organization hosted the “Hackathon Training for Building Automation Experience using Cobot and AGV.”

 

We have a Korea-based partner, a leading international hardware accelerator that plays a pivotal role in South Korea’s maker and startup ecosystem. Aligned with the 2024 national policy promoting robotics education and supported by the government, the organization hosted the “Hackathon Training for Building Automation Experience using Cobot and AGV.”

 

The four-day event combined two days of hands-on training with two days of competition, attracting 40 university students and startup teams guided by two instructors. Participants, including students in robotics, AI, and computer science, as well as developers from incubators and maker communities, worked to strengthen their skills in automation, vision AI, and robotic integration. Five awards and certificates were presented, emphasizing industry-academic collaboration.

 

The participants used our myCobot Pro and myAGV to develop automation projects in simulated industrial environments. The robot vehicles utilized OpenCV for real-time navigation, while the robotic arms integrated YOLOv8 for vision-based object detection and grasping tasks.

 

Our robots were selected for their open-source compatibility, intuitive interface, and support for both graphical and code-based programming, making them accessible to all skill levels. We also provided pre-event technical guidance, hardware setup, and on-site troubleshooting, ensuring a smooth and successful hackathon.

A U.S.-based partner is dedicated to developing integrated robotic systems powered by advanced AI. Led by a team holding multiple patents and extensive expertise, the company has been invited to present at leading robotics conferences worldwide.

 

To advance its goal of creating an AI-driven robotics platform, the enterprise selected our myCobot as the robotic arm for its service robot. This all-in-one system combines a mobile chassis, navigation capabilities, a compact design, and a robotic gripper for household tasks, serving developers, researchers, and tech-competition teams.

 

Our robot arms were chosen for their compact size, seamless Raspberry Pi integration, and versatile API supporting motion control, I/O management, and forward/inverse kinematics. By leveraging our open-source projects, GitHub examples, and detailed tutorials, the enterprise accelerated system integration and focused on advanced AI applications.

 

The compound mobile robot featuring the myCobot has been showcased at major tech events, including NY TechWeek, the Rocky Mountain RepRap 3D Printing Festival, and the Hugging Face/LeRobot Global Hackathon. These appearances highlighted the enterprise’s innovation and garnered recognition from researchers, developers, and AI enthusiasts alike.

Shenzhen High School of Science, a top-tier STEM-focused high school in China, has built 32 advanced labs, including robotics and maker spaces. Its students excel in competitions like China Robotics Challenge(CRC), World Educational Robot Contest（WER), and Shenzhen’s robotics contests, winning multiple first-place awards.

 

In the past, the school struggled with robotic arms that were expensive, inflexible, PC-dependent, and poorly supported—disrupting class schedules. While preparing a ROS-based application development course, it sought more practical and versatile robotics solutions.

 

The school ultimately procured our 6-axis robot arms-myCobot and mobile robots myAGV, which can be combined into a compound mobile robot. Teachers valued their Raspberry Pi–based architecture, open-source interfaces, and cost-effectiveness. Standardized educational resources, including the textbook Applications of Compound Mobile Robots, supported course design, while 24/7 technical support provided ongoing assurance and reliability.

 

On May 10, 2025, Shenzhen High School of Science co-founded China’s first Science High School Alliance with 18 STEM-focused schools. The launch event brought together experts, including Academician Jianping Fan, as well as leading tech enterprises such as Huawei and Tencent. Our compound mobile robots garnered significant attention, showcasing the school’s commitment to advanced, hands-on STEM education.

The Artificial Intelligence Terminal Application Training Center at the School of Internet of Things and Artificial Intelligence, Fujian Polytechnic of Information Technology (FJPIT), cultivates future AI professionals with practical skills and real-world experience.

 

While planning a Raspberry Pi–based development course and a fully equipped robotics training lab, the school discovered that using Raspberry Pi alone did not provide interactivity and did not clearly demonstrate real-world applications. To enhance visualization, engagement, and practical depth, the school sought cobots that seamlessly integrate with Raspberry Pi, providing a tangible platform for student projects, strengthening hands-on learning, and encouraging greater participation. They also sought innovative robotics solutions with strong visual and technological appeal to effectively showcase the lab’s technical capabilities during inspections by higher-level education authorities.

 

After evaluation, the school selected 25 units of myCobot with AI Kits for their compact design, open-source ecosystem, affordability, and extensive support for further development. Teachers can leverage these kits to design accessible, modular, and intuitive course materials tailored to AI and embedded systems.

 

In class, two students share each kit, collaborating across the full project pipeline—from algorithm design to task execution. Using ER's educational robots, students complete real-world automation tasks, gaining experience in AI programming, sensor integration, and hardware-software collaboration. This hands-on approach builds technical skills while fostering critical thinking, problem-solving, and teamwork, making robotics education interactive, practical, and future-focused.

We have a partner who aims at driving robotics, AI, and embedded systems education across South Korea. The enterprise provides specialized training for educational and research institutions in areas such as artificial intelligence, autonomous driving, and automation robotics, while collaborating with leading industry enterprises to strengthen Korea’s talent pipeline.

 

Recognizing the cost-effectiveness, open-source accessibility, and classroom adaptability of our robots, the enterprise procured over 50 compound mobile robots, combining mechArm with myAGV. These robots simulate warehouse logistics scenarios, allowing students to apply theory to real-world applications. Remote technical support ensures smooth integration into classroom settings.

 

Between 2023 and 2025, the enterprise hosted the Metarobo Competition at KoreaTech, which involved 20–40 undergraduates in robotics, embedded systems, and engineering. Students formed 8–10 teams of 3–4 members to program compound mobile robots for automated object transport, with 15 robot sets deployed per session. Certificates were awarded to all participants.

 

Through hands-on training and competitions, the enterprise equips future engineers with practical robotics experience, fosters industry-academic collaboration, and encourages broader adoption of our open-source, education-focused robotics solutions in South Korea.

The Foundation for Catholic Education (FCE) supports elementary schools in the Archdiocese of Philadelphia, helping schools like Saint Elizabeth Parish sustain enrollment and improve education through funding and programs. Backed by donations, fundraising events, and Pennsylvania’s EITC and OSTC tax credit programs, FCE expands access to high-quality Catholic education. lts contributors have not only provided financial support but also offered teacher training and help develop robotics-based math and technology curricula.

 

To modernize learning, FCE introduced our 6-DOF robotic arm-myCobot into K-12 coding and robotics programs across 102 elementary, 15 secondary, and 3 special education schools in Bucks, Chester, Delaware, Montgomery, and Philadelphia counties. An FCE representative said, “We selected ER's robotic arms for their ease of use, stability, and flexibility. To date, we have procured more than 100 units to support our educational programs.”

 

Using graphical tools and open-source platforms, students gain hands-on skills in STEAM. Students in grades 1–3 use Blockly, a beginner-friendly graphical programming tool, to control educational cobots for basic tasks like drawing and object handling, cultivating logic and teamwork. Students in grades 4–8 use Python and ROS for advanced projects such as sorting and vision-based applications, strengthening computational and interdisciplinary thinking.

The myCobot was highlighted at the inaugural AOPS STEAM Expo & Robotics Competition on April 29, 2025, at Cardinal O’Hara High School. Students from 24 schools showcased robotics projects like cleaning assistants and food delivery bots, attracting over 500 visitors.

Singapore, renowned for its world-class education, consistently ranks among the top globally in mathematics and science. The country has launched several initiatives to expand the reach and quality of robotics education. 

 

As part of WorldSkills Singapore (WSS) 2025, one of our distributors organized a nationwide robotics programming extracurricular course, “Robotic Arm Stacking with Blockly”, which introduced secondary school students to coding through visual programming. The program involved 20 schools across Singapore, 12 sessions, and roughly 30 students per session. Students used myCobot and the intuitive Blockly platform to complete robotic arm stacking tasks.

 

Course instructor Junbing noted, “We selected ER's educational robot arms for their ease of use, portability, and cost-effectiveness. Its ability to operate without an external PC makes it ideal for school settings. STEM and K-12 education often face challenges such as limited teaching methods and a lack of interactive tools. Leveraging ER's robots, we developed a hands-on curriculum that bridges theory and practice, broadening the scope of robotics education.”

 

A student from Nanyang Girls’ High School shared, “Using Blockly, I quickly got started and was able to explore more complex logic. This hands-on experience boosted my creativity and practical skills.”

 

Our post-course survey of 300 participants showed that 80% reported increased interest in robotics. This initiative extends beyond an extracurricular course, showcasing the myCobot as a practical tool to enrich teaching.

At the Zhuhai Campus of Sun Yat-sen University (SYSU), the School of Artificial Intelligence has launched the course "Principles of Robotics Laboratory" , covering robot actuation, perception, and control. Professor Tianqi Wei, a researcher in robotics and intelligent control, serves as a Review Editor for Frontiers in Neurorobotics and reviews for leading journals and conferences such as Robotica, IROS, and IEEE RA-L. He emphasizes blending advanced theory with practical engineering skills. SYSU aimed to build a practice-oriented robotics lab by introducing diverse equipment and fostering deeper industry-education integration.

 

After evaluating many options, the university selected our cobots and AI Kits for its affordability, ease of use, and all-in-one Raspberry Pi-based design. The kit operates independently with just a keyboard, mouse, and monitor—no laptop needed—reducing setup time and instructional costs, making it suitable for university laboratories and large-scale teaching.

 

SYSU procured 16 units of myCobot and 16 units of AI Kits, assigning one per group of four students. Teachers developed customized lab content to align with the kit’s features. In class, students use the compact, open-source platform to explore topics like motion control, path planning, and system integration. Beyond technical skills, the hands-on projects foster teamwork, problem-solving, and deeper understanding of robotics fundamentals, supporting SYSU’s goal of advancing both academic knowledge and practical training.

University College London (UCL), ranked 9th in the QS World University Rankings, is internationally recognized for academics and research excellence. To expand its robotics curriculum and support further research projects, UCL sought compact and high-performance robotic tools.

 

A robotics and AI professor at UCL noted: “We have already used Raspberry Pi. After discovering Elephant Robotics, we chose the myCobot and myAGV for their strong alignment with our teaching and research needs.” UCL has since procured 50 units of our robot  units and kits, which are now actively used in teaching and competitions.

 

In 2024, UCL, Queen Mary University of London (QMUL), and King’s College London (KCL) co-hosted the annual Robotics Summer School Hackathon as a part of the Active Group initiative. Participants—mainly postgraduates, researchers, and robotics enthusiasts from UCL, QMUL, KCL, and other international institutions—were challenged to program the educational robots to detect and sort colored cubes, combining computer vision, sensor integration, and robotic manipulation.

 

Such events give participants practical experiences in automation, motion planning, and problem-solving, while inspiring future careers in robotics and highlighting Elephant Robotics' strong potential in robotics education and research in the UK.