Multi Modal Robot

Multi-modal robots are designed to seamlessly transition between different locomotion modes (e.g., walking, flying, swimming) to navigate diverse and challenging environments. Current research emphasizes integrating advanced perception systems, often using multimodal large language models (MLLMs) and deep learning for tasks like environment mapping and path planning, to enable autonomous mode selection and control. This field is significant for expanding robotic capabilities in areas such as search and rescue, planetary exploration, and even education, where robots can leverage multiple sensory inputs and adapt to complex situations.