Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation

Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group

Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

Career

Award

BibTeX

Dynamic Locomotion Book Special issue on embodied intelligence-understanding animal locomotion and its robotic implementations Manoonponga, P., Badri-Spröwitz, A., Owaki, D. Advanced Robotics, 39:1-2, Taylor & Francis and RSJ, Milton, January 2025 (Published)

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’.

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