Fraunhofer Institute for Electronic Microsystems and Solid State Technologies EMFT
Fraunhofer Institute for Electronic Microsystems and Solid State Technologies EMFT

Vision-Language-Action Models for Service Robots

Autonomous service robotics is becoming a critical factor for increasing safety, efficiency, and operational flexibility in industry, infrastructure, and mission-critical environments. By combining imaging technologies, distributed sensor systems, and advanced AI models, multimodal approaches enable robust robotic systems that perform reliably even under challenging conditions such as glare, dust, vibration, and harsh environments. Fraunhofer EMFT develops end-to-end solutions for 3D environmental perception, autonomous navigation, hazard monitoring, and flexible service robotics, leveraging AI-powered Vision-Language-Action (VLA) models to enable intelligent decision-making and autonomous action.

Core Technologies

Multimodal Sensor Fusion: Beyond Visual Data

Fraunhofer EMFT applies a systematic approach to fusing heterogeneous sensor data streams. We integrate:

  • Visual sensors: RGB, NIR, ToF, stereo, and polarization cameras
  • Non-visual sensors: IMUs, ultrasonic sensors, radar, and physical sensors
  • Synchronization & software-based calibration: Hardware-level timestamping and AI-driven methods

The result is a consistent, temporally aligned multimodal data stream that forms the basis for reliable perception and decision-making, even under challenging conditions.

Distributed Sensing and Mobile Platforms

For inspection and emergency response applications, Fraunhofer EMFT develops distributed sensor networks featuring:

  • Autonomous power supply: Battery-powered and energy-harvesting systems
  • Edge AI processing: Local AI chips for distributed intelligence
  • Real-time connectivity: Bidirectional communication and network integration
  • Environmental monitoring: Detection of gases, temperature gradients, and acoustic signatures

This enables robotic systems to identify, avoid, or selectively investigate hazardous areas in an intelligent and adaptive manner.

Vision-Language-Action (VLA): AI as the "Brain" of Robotic Systems

VLA models connect multimodal sensor data with a semantic understanding of tasks and environments. They typically consist of three coupled components:

Vision encoders

Vision encoders extract semantic features from image data and generate embeddings for objects, scenes, and relationships.

Language encoders

Language encoders process natural language inputs (e.g., "Grasp the red component to the left of the wiring harness") via small, efficient LLMs on the edge device.

Action decoders

Action decoders generate concrete control commands (e.g., target position, gripping force, motion profile) from the joint embedding for the robot kinematics.

Applications & Practical Implementation

The combination of multimodal sensor technology and VLA enables new future application scenarios:

© Adobe Stock/ Fraunhofer EMFT

Autonomous inspection of bridges, tunnels, and power plants: 3D mapping, crack and corrosion detection using multispectral and thermal imaging, and a voice-assisted reporting system for real-time operator updates.

© Adobe Stock/ Fraunhofer EMFT

Service robotics for wastewater treatment, mining, and firefighting: Gas and particulate sensors provide continuous environmental monitoring, while Vision-Language-Action (VLA) models adapt gripper actions in real time based on visual and language-based context understanding.

© Fraunhofer EMFT/ Isabel Menzietti

Intelligent disassembly: AI-powered robots identify components and autonomously dismantle equipment, enabling efficient, material-specific recycling without manual intervention.

© Fraunhofer EMFT/ Isabel Menzietti

Cobots with natural language control: Cobots understand spoken instructions and combine them with 3D scene understanding and intelligent gripper control, enabling humans to interact with robots.

Technology Transfer for Intelligent Service Robots

The Fraunhofer EMFT supports companies in the development of service robots powered by Vision-Language-Action (VLA) models – from initial feasibility studies to market-ready prototypes. Through established partnerships with leading robotics manufacturers, AI research institutes, and federal ministries, we provide access to funding opportunities, accelerated market entry, and reduced development risk. We support the validation, optimization, and scaling of your VLA-based robotic solution, helping you bring innovative technologies into real-world applications.

Contact us to learn how we can support your robotics development project!

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