“Challenges in Implementing Environmental Perception Sensor Limitations: No sensor is perfect. Cameras can be hampered by poor lighting, Lidar can be costly, and ultrasonic sensors might have limited range. Ensuring robust perception often means using a combination of sensors, increasing complexity and costs. Dynamic Environments: Environments that change rapidly pose a significant challenge. A robot navigating a busy street, for instance, has to deal with moving cars, pedestrians, changing traffic lights, and more. Computational Demands: Processing vast amounts of data in real-time is computationally intensive. While there have been tremendous advances in computational power, balancing performance with energy consumption remains a concern, especially for mobile robots. Safety and Reliability: Especially in applications like autonomous vehicles, the stakes are high. The system’s perception must be reliable and fail-safe to prevent accidents.”