What advanced programming languages and algorithms are commonly used in the research and development of robotic autonomy, and how do they contribute to the improvement of robotic learning and decision-making processes?

Advanced programming languages such as Python, C++, and ROS (Robot Operating System) are commonly used in robotic autonomy research. Algorithms like deep learning, reinforcement learning, SLAM (Simultaneous Localization and Mapping), and path planning contribute to enhancing robotic learning and decision-making by enabling robots to perceive environments, make decisions, and adapt to dynamic conditions.

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