Multi Modal Locomotion

Multimodal locomotion in robotics focuses on designing robots capable of seamlessly transitioning between different locomotion modes, such as walking, flying, and rolling, to navigate diverse terrains and accomplish complex tasks. Current research emphasizes developing control algorithms, often leveraging reinforcement learning and whole-body trajectory optimization, to coordinate multiple actuators and achieve smooth mode switching, often inspired by biological systems like birds and insects. This field is significant for advancing robotic capabilities in challenging environments, with potential applications in search and rescue, exploration, and planetary missions where adaptability and versatility are crucial.