Complex Terrain

Complex terrain navigation presents a significant challenge for robots, demanding robust locomotion and perception systems capable of handling diverse and unpredictable surfaces. Current research focuses on developing advanced control algorithms, often leveraging reinforcement learning and neural networks (including transformers) to enable robots—ranging from wheeled and legged platforms to UAVs—to traverse challenging environments, including steep slopes, uneven surfaces, and obstacles. These advancements are crucial for expanding the capabilities of robots in search and rescue, exploration, and other applications requiring autonomous operation in unstructured environments, improving efficiency and reliability in these domains.