Vision Based Sensor

Vision-based sensors are revolutionizing robotics and autonomous systems by providing rich environmental information for tasks like navigation, manipulation, and object recognition. Current research emphasizes integrating vision with other sensor modalities, such as tactile sensing, to improve robustness and dexterity, often employing convolutional neural networks (CNNs) for data processing and control algorithms like Control Barrier Functions (CBFs) for safety. This work is significantly impacting fields like robotics and autonomous driving by enabling more reliable and adaptable systems capable of operating in complex and uncertain environments.