SINGAPORE, Jan. 5, 2026 /PRNewswire/ -- North London Collegiate School (Singapore) proudly celebrates a remarkable triumph as MercuriX Racing is crowned the 2025 Singapore National STEM Racing Champions, an extraordinary achievement in only their second year participating, competing against 14 teams from 7 schools.
The team not only clinched the National Championship title but also secured wins as Knockout Racing Champions and the Best Video Presentation Award. Their outstanding performance has earned them the honour of representing Singapore at the 2026 World STEM Racing Championship, competing against the most accomplished young engineers across the globe.
What Is STEM Racing?
Supported by Formula 1®, STEM Racing, formerly known as F1 in Schools, is a prestigious international STEM competition for students aged 9 to 19 where participants design and manufacture miniature race cars using advanced CAD/CAM tools.
However, the competition extends far beyond engineering. Students innovate, collaborate, build brand associations, raise funds, and demonstrate prudent financial and time management, gaining practical competencies essential across professional industries.
The Team Driving Championship Success
Representing NLCS (Singapore), MercuriX Racing comprises six dedicated team members, Samuel (Team Manager), Braxton (Head of Engineering), Kerri (Manufacture Engineer), Yarun (Research Engineer), Evie (Head of Enterprise), and Denise (Head of Graphic Design). Each member brought their expertise to the table, creating a disciplined, communicative team united by a shared commitment to precision.
Head of Enterprise, Evie shared, "Seeing our identity come together across the portfolio, merchandise, social media, and pit display made all the long nights worth it. It made me feel like I helped shape how people saw us, and I am really proud of that.
Research Engineer, Yarun, added, "It taught us the importance of how a strong team isn't defined by job titles but by trust, collaboration and being there for each other."
Mastering Engineering Challenges with Innovation and Teamwork
This year's competition was among the most technically demanding, with many second-year teams competing for the National title and a place at the World Finals, but MercuriX Racing rose to the challenge. Using advanced tools such as Autodesk Fusion and ANSYS, the team simulated aerodynamics, refined structures, and evaluated performance variables before manufacturing began. Their final car was produced through a combination of CNC machining and 3D printing, resulting in a sleek, world-class design.
Manufacture Engineer, Kerri recalled that the team's biggest challenge was maintaining a high level of performance while still meeting strict regulations. However, they overcame this through an iterative engineering process of rapid prototyping, continuous simulation, and data-driven refinement.
"Through the multiple iterations of the car we had multiple 'eureka' moments that led to failure, but this experience taught us resilience and the value of further refining our ideas," Team Manager, Samuel added.
Crafting a Unique Team Identity
Beyond engineering excellence, the team delivered an impressive enterprise pitch and a cohesive brand identity grounded in their slogan, "Unleashing Speed and Engineering Excellence."
Denise, Head of Graphic Design shared, "MercuriX Racing is unique because of the team culture where everyone supported one another beyond their assigned roles, creating a team that was flexible, collaborative and deeply united. This identity helped us adapt quickly during the competition, solve problems faster, and stay confident when under pressure."
Insights from Mr Wilson Law on Building Success
For Wilson Law, Head of Design and Engineering at NLCS (Singapore), this year's success is the result of dedication and a strong culture of applied learning.
"STEM Racing reflects the kind of education we believe in at NLCS (Singapore), ambitious, academic, student-led, and grounded in real outcomes," he shared.
"Alongside my colleagues, our role was mainly to support and enable rather than direct, providing moral support, practical guidance at key moments, and the resources the team needed to execute well."
Looking Ahead to the International Stage
With their national win secured, MercuriX Racing now sets its sights on the STEM Racing World Finals 2026. Their goal is to refine their prototype, push boundaries, and represent NLCS (Singapore) with the same courage and excellence that brought them this victory.
Stay connected with MercuriX Racing on Instagram for more updates and to support them in this journey.
About North London Collegiate School (Singapore)
Founded in August 2020, North London Collegiate School (Singapore) is a British international school offering the academically ambitious NLCS curriculum, followed by the International Baccalaureate's Middle Years Programme and culminates in the IB Diploma Programme.
Drawing upon 175 years of educational heritage from its founding school in the UK, NLCS (Singapore) nurtures individuals to be intellectually curious, socially confident, and grounded in compassion. Every student is known, challenged, and celebrated through a rigorous academic framework, rich co-curricular opportunities, and exceptional pastoral care.
Situated on Depot Road, the school is part of a global family of schools committed to educational excellence and developing global citizens.
To learn more about NLCS (Singapore), please visit our website and follow us on Instagram, Facebook, YouTube and LinkedIn.
For media queries, please contact the NLCS (Singapore) Marketing Team
Email: marketing@nlcssingapore.sg
Or visit our website www.nlcssingapore.sg
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
MercuriX Racing Wins STEM Racing Nationals 2025, to Represent Singapore
SHANGHAI, April 18, 2026 /PRNewswire/ -- AGIBOT today outlined its long-term strategic vision for embodied intelligence at the AGIBOT Partner Conference (APC) 2026, declaring 2026 as the first year of large-scale commercial deployment of physical AI systems delivering measurable productivity gains.
Building on three years of rapid evolution, from R&D to mass production to commercialization, AGIBOT highlighted a fundamental industry transition: artificial intelligence is moving beyond digital cognition into real-world execution. As embodied systems begin to operate reliably in physical environments, the industry is entering a critical phase where scalable deployment and tangible productivity value are becoming achievable at scale. Against this backdrop, AGIBOT is positioning itself as a key architect of the emerging Physical AI ecosystem.
"The industry is moving from proving what robots can do, to proving what value they can consistently deliver at scale," said Edward Deng, Founder, Chairman and CEO of AGIBOT. "At AGIBOT, we focus on making embodied intelligence deployable, combining motion, interaction, and manipulation intelligence into one system that can operate under real-world constraints. Our goal is not just to build capable robotic machines, but to turn them into reliable units of productivity that can be scaled across industries."
A Full-Series Portfolio Built on a Unified Physical Intelligence Architecture
At APC 2026, AGIBOT unveiled its latest technological architecture at APC 2026, positioning itself as the only company to offer a full-series, full-scenario lineup spanning humanoids, wheeled platforms, and multi-form robots across different sizes and applications.
At the core of this portfolio is AGIBOT's "One Robotic Body with Three Intelligences" framework, an engineering-ready paradigm that integrates motion, interaction, and operation intelligence into a unified system. Within this architecture, the robotic body serves not only as the physical carrier of intelligence, but also as the critical interface to the real world, where perception, decision-making, and execution must operate under real physical constraints such as force, precision, timing, and safety. This tight coupling between intelligence and embodiment enables robots to move beyond isolated capabilities toward full-domain generalization in complex environments.
Supported by one of the most comprehensive full-stack technology systems in embodied AI, spanning both "brain" and "body", and reinforced by industry-leading mass production capabilities, AGIBOT continues to iterate its product lineup while systematically scaling deployment across increasingly complex real-world scenarios.
The XYZ Framework for Embodied Intelligence
At APC 2026, AGIBOT introduced a clear XYZ-curve framework to define the development trajectory of the embodied intelligence industry.
- The X curve (2022–2026) represents the development and early adoption stage, where foundational breakthroughs enabled robots to achieve human-like movement. This stage is characterized by a development-state data flywheel, rapid advances in motion intelligence, and the stabilization of robotic hardware for mass production.
- The Y curve (2026–2030) marks the deployment growth stage, where the focus shifts from capability validation to large-scale value creation. In this stage, productivity begins to approach human levels, driven by a deployment-state data flywheel, the scaling of interaction intelligence, and the scenario-based deployment of operation intelligence, leading to the emergence of embodied agents capable of executing real tasks.
- Looking ahead, the Z curve (2030 onward) represents the deployment and popularization stage, where intelligence evolves from quantitative accumulation to qualitative breakthroughs. Generalization capabilities expand significantly, collective intelligence emerges, and robots begin to surpass human productivity in selected domains.
With 2026 declared as "Deployment Year One," AGIBOT is formally transitioning the industry into the era of measurable productivity. This milestone is underscored by the company's announcement of the rollout of its 10,000th robot as of March 2026, reflecting both manufacturing scale and accelerating real-world adoption. Combined with rapid revenue growth, AGIBOT has established itself as one of the fastest-scaling embodied AI companies globally.
Seven Standardized Solutions Driving Real-World Adoption
To accelerate commercialization, AGIBOT introduced seven standardized productivity solutions targeting high-value industry scenarios: loading and unloading, industrial handling, logistics sorting, guidance and retail assistance, retail service stations, security patrol, and industrial & commercial cleaning. Each solution integrates hardware, AI models, and data systems into a unified, repeatable deployment package, enabling faster rollout cycles and lower integration complexity. Unlike traditional robotics deployments that rely heavily on customization, AGIBOT's approach emphasizes modularity, scalability, and measurable ROI.
Backed by real-world deployments across manufacturing, logistics, retail, and public infrastructure, these solutions have demonstrated quantifiable impact, from improved efficiency and precision to reduced labor costs and enhanced service capabilities. This solution-driven model marks a critical step in transitioning embodied AI from pilot projects to scalable productivity infrastructure.
Launching AIMA, A Full-Stack Open Architecture for Embodied AI
Reinforcing its role as an ecosystem builder, AGIBOT also announced the launch of AIMA (AI Machine Architecture), the industry's first complete open technology system for embodied intelligence. Designed as a "1+3+X" architecture, AIMA consists of a unified robot operating system (Link-U OS), three core development platforms - LinkCraft for motion creation, LinkSoul for interaction design, and Genie Studio for task development - and an extensible ecosystem layer supporting a wide range of applications. The "X" represents the AGIBOT Embodied Agent Framework, enabling deployment across commercial, industrial, and home scenarios, while supporting developers and ecosystem partners.
This full-stack architecture provides an end-to-end toolchain, from low-level system control to high-level application development, significantly reducing the complexity and cost of building embodied AI solutions. Through continuous open-sourcing and platform expansion, AGIBOT has already attracted a rapidly growing global community of developers and partners, laying the foundation for scalable ecosystem innovation.
Building a Global Ecosystem for the Next Phase of Productivity
Over the next five years, AGIBOT plans to invest more than RMB 2 billion to expand its ecosystem, working alongside leading universities, industry partners, and developers to build a globally competitive embodied AI infrastructure. AGIBOT also aims to support thousands of partners and cultivate a large-scale developer community, driving both technological innovation and commercial adoption. Looking toward 2030, AGIBOT envisions embodied intelligence reaching the stage of widespread adoption, unlocking trillion-scale market potential and enabling robots to become a fundamental layer of productivity across industries.
By aligning technology, ecosystem, and commercial deployment, AGIBOT aims to usher in a new era of embodied AI-driven productivity.
For more information, please visit AGIBOT at AGIBOT.com and follow AGIBOT on:
https://www.facebook.com/AGIBOT.zhiyuan
https://x.com/AGIBOT_zhiyuan
https://www.instagram.com/AGIBOT_
https://www.tiktok.com/@agibot_
https://www.youtube.com/@AGIBOT-robot
About AGIBOT
AGIBOT is dedicated to driving innovation through the integration of AI and robotics, creating world-leading general-purpose embodied robot products and an application ecosystem. Built on the foundation of the robotic body and powered by the fusion of interaction, manipulation, and locomotion intelligence - "1 Robotic Body, 3 Intelligence" - AGIBOT is a leading robotics company in the industry to deliver a complete product portfolio and deploy across all major application scenarios. In March 2026, AGIBOT announced the rollout of its 10,000th robot, marking a major milestone in large-scale production and deployment.
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AGIBOT Declares 2026 "Deployment Year One" at APC 2026, Accelerating the Era of Embodied AI Productivity
AGIBOT Declares 2026 "Deployment Year One" at APC 2026, Accelerating the Era of Embodied AI Productivity
