πŸ€– Robotics

SoftBank and Yaskawa Launch Physical AI Office Revolution: Multi-Access Edge Computing Powers Japan's Labor Shortage Solution at iREX 2025

πŸ“… December 3, 2025 ⏱️ 7 min πŸ”— SoftBank Corp

SoftBank Corp and Yaskawa Electric Corporation have forged a strategic partnership to revolutionize office automation through Physical AI technology, combining SoftBank's AI-RAN (Artificial Intelligence Radio Access Network) infrastructure with Yaskawa's advanced robotics capabilities. The collaboration addresses Japan's critical labor shortage by developing multi-skilled robots that can safely work alongside humans in complex office environments.

SoftBank Corp
AI-RAN Technology & MEC Infrastructure
Yaskawa Electric
Mobile Manipulator Robots & VLA Models

Physical AI: Redefining Workplace Automation

Physical AI represents a fundamental shift from traditional automation by enabling robots to analyze and interpret data from sensors, cameras, and external systems through artificial intelligence. This technology allows robots to perform flexible and complex physical movements based on AI-driven decisions, creating truly adaptive workplace companions rather than rigid programmed machines.

Definition: Physical AI is a technology that enables robots to analyze and interpret data from sensors, cameras, and external systems through AI, allowing them to perform flexible and complex physical movements based on AI-driven decisions.

The partnership leverages SoftBank's Multi-access Edge Computing (MEC) infrastructure to centrally manage information including building facilities, office supply inventories, and robot operational status. This centralized approach enables real-time coordination and decision-making across multiple robotic systems operating within the same environment.

Revolutionary MEC AI Coordination System

The technical architecture centers on MEC AI that serves as a central coordination hub, managing information from building management systems, inventory tracking systems, and individual robot status reports. This approach enables unprecedented coordination between multiple robots and building infrastructure.

Technical Architecture Components

SoftBank AI-RAN Technology

Multi-access Edge Computing AI-RAN Infrastructure Building Management Integration Real-time Coordination

Yaskawa Robotics Platform

Mobile Manipulator Robots Vision-Language-Action Models Multi-skilled Functionality Human-safe Operation
  • Centralized Information Management: MEC AI processes data from building facilities, inventory systems, and robot operational status to optimize task allocation
  • Dynamic Task Assignment: The system analyzes real-time building data, sensor information, and camera inputs to assign appropriate tasks to available robots
  • Building System Integration: Robots interface directly with elevators, security systems, lighting, and climate control through building management protocols
  • Multi-skilled Robot Deployment: Single robotic units can perform multiple roles, adapting their functions based on immediate needs and priority tasks

Vision-Language-Action Model Integration

Yaskawa's contribution includes sophisticated Vision-Language-Action (VLA) models that generate specific robot actions based on high-level instructions from the central coordination system. This approach bridges the gap between abstract task requirements and precise physical movements required for office environments.

The VLA models enable robots to understand complex instructions, interpret visual scenes, and execute appropriate physical actions. For example, a robot can receive an instruction to "organize the conference room for the 3 PM meeting" and autonomously determine the necessary actions including furniture arrangement, supply preparation, and environmental adjustments.

Addressing Japan's Labor Shortage Crisis

Japan faces an unprecedented labor shortage that threatens economic stability, with an aging population and declining birth rates creating critical workforce gaps across multiple sectors. The SoftBank-Yaskawa partnership directly addresses this challenge by developing robots capable of handling complex office tasks traditionally requiring human workers.

The office-focused Physical AI robots are designed to work safely alongside human employees, performing tasks such as document delivery, supply management, meeting room preparation, and facility maintenance. This collaborative approach augments human capabilities rather than simply replacing workers, creating a hybrid workforce model suited for Japan's demographic realities.

iREX 2025 International Demonstration

The partnership's first public demonstration is scheduled for iREX 2025 (International Robot Exhibition), taking place at Tokyo Big Sight from December 3-6, 2025. The demonstration will showcase the integrated Physical AI system in a simulated office environment, highlighting the seamless interaction between AI coordination systems and mobile robots.

iREX 2025 Demonstration Features: Live office automation scenarios, multi-robot coordination examples, building system integration capabilities, and human-robot collaboration workflows. The demonstration will show how Physical AI transforms traditional office environments into adaptive, intelligent workspaces.

Visitors will observe robots performing realistic office tasks including meeting room setup, document distribution, inventory management, and facility monitoring. The demonstration emphasizes safety protocols and human-robot interaction patterns designed for actual workplace deployment.

Multi-skilled Functionality Revolution

Traditional office automation has relied on single-purpose machines designed for specific tasks. The SoftBank-Yaskawa Physical AI approach introduces "multi-skilled functionality" where individual robots can adapt their capabilities based on immediate needs and environmental conditions.

This adaptive capability is enabled by the central MEC AI system that continuously analyzes building operations, identifies priority tasks, and reassigns robot functions in real-time. A robot might handle mail delivery in the morning, transition to meeting room preparation during lunch, and perform facility inspections in the eveningβ€”all based on dynamic scheduling and priority algorithms.

Enterprise Deployment Implications

The partnership represents a significant advancement in enterprise robotics deployment, offering organizations a path to implement sophisticated automation without massive infrastructure overhaul. The system's integration with existing building management systems reduces implementation complexity while providing immediate operational benefits.

For multinational organizations, the Physical AI platform offers scalable deployment across multiple office locations with centralized management capabilities. The technology addresses common enterprise concerns about robot deployment including safety, flexibility, and integration with existing workflows.

The collaborative approach between SoftBank and Yaskawa demonstrates how telecommunications infrastructure and robotics expertise can combine to create comprehensive automation solutions that address real-world workforce challenges while maintaining human-centered workplace design principles.