End-to-End Engineering Capability

Challenge

Healthcare-associated infections (HAIs) affect millions of patients annually. Traditional disinfection methods are labor-intensive and inconsistent.

Solution

Developed an autonomous UV-C disinfection robot combining precision mechanical design, real-time navigation, and clinical validation protocols.

Results

• 99.9999% pathogen elimination rate
• 87% reduction in HAI rates (field deployment)
• Deployed in 8+ countries
• 100% clinical validation

Challenge

Robots must navigate complex healthcare environments with dynamic obstacles, narrow corridors, and unpredictable human movement.

Solution

Engineered a sensor fusion system combining LIDAR, computer vision, and real-time SLAM for robust autonomous navigation.

Results

• Real-time obstacle detection and avoidance
• 99.2% navigation success rate
• Works in GPS-denied environments
• Adaptive path planning algorithms

Challenge

Coordinating multiple subsystems (UV-C lamp, motors, sensors) with strict power constraints and real-time requirements.

Solution

Designed closed-loop control systems with custom firmware, power management, and wireless telemetry for remote monitoring.

Results

• Real-time control loop at 100Hz
• Power efficiency optimization (40% reduction)
• Wireless monitoring and diagnostics
• Predictive maintenance algorithms

Challenge

Designing a robot that is durable, maintainable, and can be manufactured at scale while meeting strict healthcare standards.

Solution

Leveraged CAD simulation, FEA analysis, and rapid prototyping to create an optimized design for injection molding and assembly.

Results

• Design validated through FEA simulation
• Manufacturing cost reduced by 35%
• Modular design for easy maintenance
• ISO 13849-1 safety certification