Physical AI refers to AI systems that go beyond simple data analysis to perceive, interpret, and take direct action within real-world environments. Recently, with the advancement of Vision-Language-Action (VLA) based technologies, AI is evolving to a stage where it integrally performs the entire process of โseeing (vision), understanding (language), and acting (action).โ This transformation is attracting attention as a โgame changerโ across industries, including manufacturing, defense, logistics, and smart cities.
So why is Physical AI gaining momentum now?
Physical AI can be viewed not as a concept that emerged overnight, but rather as a technological evolution where long-accumulated AI technology and hardware infrastructure have crossed a critical threshold, finally reaching a level where it can be implemented in real-world environments.
1. Advancement of AI Models
Beyond Large-Scale Language Models (LLM) and Vision AI, the recent emergence of Vision-Language-Action (VLA) based models has made it possible to connect cognition, understanding, and action into a single flow.
This signifies that AI has advanced beyond simply analyzing data to a level where it can understand the context of real-world environments and perform actions appropriate to the situation.
Furthermore, with the development of Multimodal learningโan AI learning method that understands various types of data such as images, text, voice, and sensor dataโand Reinforcement Learning-based policy modelsโwhich refer to AI that autonomously finds the optimal course of action through trial and errorโAI capable of responding flexibly even in unstructured environments is becoming possible.
2. Advancement of Robotics and Sensor Technologies
Advancements in edge computing, which processes high-precision sensors and data directly on-site, and real-time control technology have made it possible to apply AI stably even in physical environments. In particular, as the concept of Software Defined Robot (SDR)โwhich defines and controls various equipment using softwareโbecomes widespread, integrated operation and scalability between heterogeneous robots are significantly improving.
This is significant in that it marks a shift away from an individual device-centric approach toward a platform-based robot operating system.ย
3. Changing Industry Demand
Across manufacturing, logistics, defense, and public services, there is a growing demand for intelligent decision-making and autonomous execution capabilities that go beyond simple automation.
As issues such as labor shortages, cost efficiency, and safety converge, the demand for field-oriented AI capable of high-level judgment and execution while minimizing human intervention is rapidly increasing. For example,
โข ย ย Manufacturing Sites: Real-time analysis and predictive maintenanceย
โข ย ย Logistics Sector: Autonomous optimization of routes and operationsย
โข ย ย Defense & Public Sector: Real-time situational awareness and rapid response systemsย
Amidst this trend, Spacebank is operating a Physical AI Demonstration Lab based on an integrated robot control platform and AI-based data processing technology. In addition, by participating in seminars on the operation and development of the Defense Data Lab, we are continuing our collaboration to create new technologies and value within the Defense AX movement.
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Dear Clients and Partners,
With the warm spring breeze, cherry blossoms ๐ธ were in full bloom on every street, and now, petals are scattering in the wind, creating a completely different landscape.
Just like the changing seasons, the flow of technology is evolving at an unprecedented pace. Artificial Intelligence (AI) is now moving beyond the screen and advancing into a field-based technology that understands reality, makes independent judgments, and takes direct action.ย
In this issue, we introduce the โPhysical AI Demonstration Lab,โ Spacebank developed in collaboration with the Industry -Academic AI Center at Sungkyunkwan University to keep pace with this trend. Combining robotics, sensors, and AI, this space goes beyond simple technology demonstrations; it provides practical platform to validate how AI operates in real-world scenarios and delivers measurable value.
Please explore the core technologies and business value created by the โPhysical AI Demonstration Lab,โ along with the future of Physical AI envisioned by Spacebank!
ย ย ย ๐ Why Physical AI Now?
ย ย ย ๐ Inside Spacebankโs Physical AI Demonstration Lab
Beyond Large-Scale Language Models (LLM) and Vision AI, the recent emergence of Vision-Language-Action (VLA) based models has made it possible to connect cognition, understanding, and action into a single flow.
Advancements in edge computing, which processes high-precision sensors and data directly on-site, and real-time control technology have made it possible to apply AI stably even in physical environments. In particular, as the concept of Software Defined Robot (SDR)โwhich defines and controls various equipment using softwareโbecomes widespread, integrated operation and scalability between heterogeneous robots are significantly improving.
Across manufacturing, logistics, defense, and public services, there is a growing demand for intelligent decision-making and autonomous execution capabilities that go beyond simple automation.
โข ย ย Manufacturing Sites: Real-time analysis and predictive maintenanceย
โข ย ย Logistics Sector: Autonomous optimization of routes and operationsย
โข ย ย Defense & Public Sector: Real-time situational awareness and rapid response systemsย
Amidst this trend, Spacebank is operating a Physical AI Demonstration Lab based on an integrated robot control platform and AI-based data processing technology. In addition, by participating in seminars on the operation and development of the Defense Data Lab, we are continuing our collaboration to create new technologies and value within the Defense AX movement.
While traditional AI has evolved around digital data, actual industrial competitiveness is still determined by the physical environment. Consequently, physical AIโtechnology that extends digital intelligence into the physical worldโis garnering attention as a core infrastructure. In particular, closed-loop AI structures that connect the virtual and the real world are gradually becoming a reality through the combination of digital twins (which replicate real-world objects or systems in a virtual space for pre-testing and analysis), simulation-based learning, and real-world data feedback.
Spacebank believes that for AI technology to be effectively deployed in real-world industrial and public sectors, a verification process based on Proof of Concept (PoC) is essential, going beyond simple technology development. In particular, for technologies that must operate directly in real-world environments, such as Physical AI, the process of ensuring stability and reliability amidst various variables and exceptional situations is of paramount importance.
To address this, Spacebank has established the Physical AI Demonstration Lab in collaboration with Sungkyunkwan University. The lab is designed to enable scenario-based validation in an integrated environment combining robotics, sensors, and AIoT technologies.
Key capabilities include:
โข Continuous validation using real-world data
โข Performance optimization and accuracy improvement
โข Verification of scalability, operational stability, and field applicability
โข ย ย Integration with digital twin and simulation environments for pre-validationย
The platform also provides:
โข Integrated control of heterogeneous robots
โข Real-time video and 3D visualization
โข ย ย Task history analysis and sensor data monitoringย
Core Zones of the Demonstration Lab
Demonstrates a Software Defined Robot-based environment where robot functionality can be continuously expanded through software updates.
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2. LLM / VLA Zone
Showcases AI systems that move beyond command execution to autonomous planning and decision-making.
AI can decompose tasks, optimize execution sequences, and operate independentlyโlaying the foundation for:
Demonstrates how AI understands not just objects, but space itself.
Capabilities include:
This is critical for applications such as autonomous driving, logistics robotics, smart factories, and defense.
4.ย Dashboard Zone (Orchestration & Monitoring)
A unified platform for real-time monitoring and control of all robotic operations.
This enables improved operational visibility, faster decision-making, and cost efficiency.
The โPhysical AI Demonstration LABโ operates as an open collaboration platform bringing together enterprises, public institutions, and researchers, going beyond a simple research facility. Participants jointly carry out the entire process, from technology development and demonstration to feedback and commercialization, thereby accelerating the field application and dissemination of physical AI technology.
The essence of Physical AI lies not in the technology itself, but in how reliably it operates in the field. Based on technologies verified in diverse environments through our Demonstration Lab, Spacebank is systematically developing actionable AI applicable across industry and the public sector.
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Moving forward, we will continue to expand the Physical AI ecosystem through collaboration between industry, academia, and research institutes, striving to ensure that our technology creates meaningful change in real-world settings. Please watch Spacebankโs journey with warm interest.
Spacebank recently participated as a panelist in the National Assembly seminar titled:
โBreaking the Concentration in the Capital Area: Realizing Regional Decentralization 3.0 through AI.โ
The seminar positioned AI not merely as a tool for efficiency, but as a key enabler for addressing regional economic challenges and population decline.
During the panel discussion, CEO and Sole Founder Woney Lee emphasized that:
She further highlighted that:
โAI is no longer confined to specific companies or regionsโit must become a core infrastructure embedded across industries and public administration.โ
Spacebank continues to advance:
These efforts aim to contribute to balanced regional development through scalable AI adoption.
AI is no longer just a technologyโit is becoming a foundational infrastructure shaping the future.
We invite you to continue following Spacebankโs journey in advancing AI Transformation and Physical AI innovation.
https://en.spacebank.company/
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