Kalman Filters

Advanced Sensor Fusion in Scientific Robotics: Algorithms, Sensors, and Integration Challenges

Advanced sensor fusion is critical for scientific robotics, enabling robots to accurately perceive complex environments and navigate autonomously by integrating data from diverse sensors. This approach combines sophisticated algorithms like Kalman filters, particle filters, and deep learning with modalities such as cameras, LiDAR, and radar to overcome individual sensor limitations and enhance robotic capabilities.