Perception Stack

A perception stack integrates various sensory inputs and processing algorithms to create a comprehensive understanding of the environment, crucial for autonomous systems and robotics. Current research focuses on improving robustness and efficiency, particularly for handling long-range or small objects, often employing attention mechanisms and hybrid approaches combining deep learning with symbolic reasoning or data from multiple sensor modalities (e.g., radar and vision). These advancements are driving progress in areas like robotic manipulation, autonomous driving, and cognitive architectures, enabling more adaptable and reliable systems in complex environments.