Autonomous Pipeline

Autonomous pipelines are systems integrating perception, planning, and control for robots to operate independently in various environments. Current research emphasizes robust perception using multimodal data and deep learning, particularly convolutional neural networks, for tasks like object detection and visual servoing, while also addressing the need for safe and verifiable control algorithms. This work is crucial for advancing the reliability and safety of autonomous systems across diverse applications, from household robots to autonomous vehicles and marine robotics, by improving both performance and safety guarantees.