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Special issue on embodied intelligence-understanding animal locomotion and its robotic implementations
Embodied Intelligence (EI)’ refers to the innate ability of animals to utilize their body structures and interact with their environment (morphological computation) in conjunction with their brain and nervous systems (neural computation). This synergy enables them to achieve flexible, versatile, and robust locomotion, and allows them to learn and perform complex tasks throughout their lives. In modern robotics, where artificial intelligence (AI) is the driver for transformative advancements, the harmonious and continuous dynamic interaction between neural computation (including control, memory, and plasticity), the physical (flexible) body, and the environment – collectively referred to as ‘embodiment’ – remains a fundamental principle. Given that animals exhibit adaptive movement strategies across diverse real-world scenarios, understanding these strategies can pave the way for innovative robotic systems that reflect ‘nature intelligence’.
@book{specIssue2025, title = {Special issue on embodied intelligence-understanding animal locomotion and its robotic implementations}, journal = {Advanced Robotics}, abstract = {Embodied Intelligence (EI)’ refers to the innate ability of animals to utilize their body structures and interact with their environment (morphological computation) in conjunction with their brain and nervous systems (neural computation). This synergy enables them to achieve flexible, versatile, and robust locomotion, and allows them to learn and perform complex tasks throughout their lives. In modern robotics, where artificial intelligence (AI) is the driver for transformative advancements, the harmonious and continuous dynamic interaction between neural computation (including control, memory, and plasticity), the physical (flexible) body, and the environment – collectively referred to as ‘embodiment’ – remains a fundamental principle. Given that animals exhibit adaptive movement strategies across diverse real-world scenarios, understanding these strategies can pave the way for innovative robotic systems that reflect ‘nature intelligence’.}, volume = {39}, pages = {1-2}, publisher = {Taylor & Francis and RSJ}, address = {Milton}, month = jan, year = {2025}, slug = {specissue2025}, author = {Manoonponga, Poramate and Badri-Spr{\"o}witz, Alexander and Owaki, Dai}, url = {https://www.tandfonline.com/doi/full/10.1080/01691864.2024.2448348}, month_numeric = {1} }