Case Studies

Delivering Autonomous Disinfection with Physical AI in High-Risk Environments

In environments where hygiene is critical, cleaning processes remain largely manual—time-intensive, inconsistent, and difficult to scale. As expectations rise for faster turnaround, higher safety standards, and reduced human exposure, these limitations are becoming operational constraints.

To address this, GlobalLogic’s Silicon & Embedded division helped Haystack Robotics engineer an autonomous mobile robot that transforms disinfection into an intelligent, self-operating system. Powered by Physical AI, the solution combines real-time perception, edge-based decision-making, and safe navigation to deliver fast, consistent UV disinfection in dynamic, real-world environments.

Transforming manual disinfection into an intelligent, autonomous system for safer, faster, and more consistent outcomes.

The Challenge

In healthcare facilities and high-traffic environments, maintaining hygiene is critical—but traditional cleaning processes remain manual, time-intensive, and difficult to scale consistently. Variability in execution, increasing safety expectations, and the need to reduce human exposure to contaminated environments create operational challenges.

Haystack Robotics needed a fundamentally different approach — one that ensures consistent, reliable disinfection while operating safely in dynamic, real-world environments.

Physical AI: Real-Time Intelligence at the Edge
Collaborative AI systems engineered for safety, scale, and real‑world performance.

The Solution

GlobalLogic’s Silicon & Embedded division collaborated with Haystack Robotics to engineer an autonomous mobile robot that redefines how disinfection is performed.

Powered by Physical AI, the solution combines real-time perception, edge-based intelligence, and autonomous navigation to deliver hospital-grade UV disinfection with minimal human intervention. Designed to operate safely alongside people, the robot continuously interprets its surroundings, adapts to changing environments, and executes disinfection workflows with precision and consistency.

In transforming disinfection into a self-operating system, the solution enables organizations to move beyond manual processes toward scalable, intelligent sanitation.

The solution developed for Haystack Robotics provides cloud connectivity enabling the over the air updates, integration to the hospital management system (HMS), and central management for a fleet of robots.

99.99%
disinfection using AI-powered medical-grade UV technology in just minutes

Key Capabilities

Autonomous Navigation in Dynamic Environments
AI-driven navigation enables the robot to operate independently in complex, real-world spaces—adapting in real time to movement, layout changes, and obstacles.

Intelligent Human-Aware Operation
Integrated person detection, tracking, and automatic shut-off mechanisms ensure safe interaction in occupied environments, supporting deployment in safety-critical settings.

AI-Powered Person Following
Custom YOLO-based detection and tracking algorithms allow the robot to intelligently follow operators, improving usability and operational flexibility.

Sensor Fusion for Precision Obstacle Avoidance
By combining LiDAR, 3D vision, and camera data, the system builds a real-time environmental model for accurate, safe navigation.

Edge AI for Real-Time Decision Making
Powered by NVIDIA, the robot processes data locally—enabling low-latency responses and continuous operation without reliance on cloud connectivity.

High-Efficiency UV Disinfection
Delivers medical-grade UV-C disinfection with up to 99.99% efficacy in as little as 10 minutes, enabling rapid and repeatable sanitation cycles.

Autonomous, Repeatable Workflows
Transforms disinfection into a programmable, consistent process—reducing variability and ensuring standardized outcomes.

Modular, Scalable Robotics Architecture
Built on ROS and optimized AI frameworks, enabling flexibility, scalability, and rapid adaptation across environments and use cases.

Business Impact for Customer

  • Faster Disinfection Cycles: Enables rapid, repeatable cleaning in minutes, increasing throughput in high-demand environments.
  • Improved Consistency and Reliability: Eliminates variability associated with manual processes, ensuring standardized disinfection outcomes.
  • Enhanced Safety and Risk Reduction: Minimizes human exposure to hazardous environments while ensuring safe operation through built-in safeguards.
  • Operational Efficiency at Scale: Reduces dependence on manual labor while enabling scalable deployment across facilities.
  • Foundation for Autonomous Operations: Establishes a new model for intelligent, self-operating systems in physical environments powered by Physical AI.
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