What are the major challenges in developing autonomous robotic systems for unstructured environments, and how are these being addressed?

Major challenges include the robot’s ability to perceive and interpret complex environments, make decisions under uncertainty, and learn from unstructured interactions. Solutions involve advancements in machine learning, particularly deep learning for perception tasks, reinforcement learning for decision-making, and probabilistic reasoning for handling uncertainty. Integrating these technologies into robotic systems enhances their adaptability and performance in dynamic, unstructured settings.