Humanoid Robot iCub

The iCub humanoid robot serves as a versatile platform for researching advanced robotics, focusing on human-robot interaction and complex motor control. Current research emphasizes improving the iCub's ability to perceive and learn from human actions, particularly concerning tool use and object manipulation, often employing deep learning architectures like ResNet for affordance prediction and model predictive control for stable locomotion and payload carrying. These advancements contribute significantly to the fields of human-robot collaboration, cognitive robotics, and the development of more robust and adaptable robots for various applications.