Approaches for Enhancement of Perception Through Snsor Design for Extreme Environment

The application of artificial intelligence (AI) and robotics in extreme environments, is crucial for addressing complex challenges and performing high risk tasks. We highlight the importance of multi-modal sensor redundancy to ensure system reliability and accuracy despite sensor failures caused by harsh environmental conditions. We propose design considerations for sensors in extreme environments, emphasizing both the hardware and software design. One method is the non-contact heart rate and temperature monitoring using RGB visible and infrared cameras. This method addresses the limitations of traditional visible light sensors under complex illumination conditions, enhancing data reliability through advanced data fusion techniques. Furthermore, we propose a panoramic sensor lens design with a 270-degree view for comprehensive environmental perception, reducing mechanical vulnerabilities. These designs demonstrate the effectiveness of combining infrared and visible light sensors for improved environmental perception and physiological monitoring.