Contents
20 December 2017
Vol 2, Issue 13
Vol 2, Issue 13
Editorial
- Humanoid robotics—History, current state of the art, and challenges
Humanoids represent one of the ultimate goals of robotics: to synthesize advances from many disciplines.
Focus
- Soft humanoid motor learning
A combination of compliant mechanical components and data-driven approaches may improve humanoid motor control.
- iCub: The not-yet-finished story of building a robot child
The iCub humanoid robot child is an open-source initiative supporting research in embodied artificial intelligence.
- A whole-body support pose taxonomy for multi-contact humanoid robot motions
A taxonomy of whole-body support poses promotes representation and generation of multi-contact humanoid robot motions.
- Sense of movement: Simplifying principles for humanoid robots
Brain simplifying principles can improve robot capabilities, but currently robot control takes different paths.
Research Article
- Design principles of a human mimetic humanoid: Humanoid platform to study human intelligence and internal body system
Human mimetic humanoids incorporate anatomical fidelity to the human musculoskeletal structure.
About The Cover
ONLINE COVER How to be Human. Humanoids like Kengoro, developed by Asano et al., represent one of the ultimate goals of robotics: to synthesize advances from many disciplines. These robots are inherently cross-disciplinary, involving advanced locomotion and manipulation, biomechanics, artificial intelligence, machine vision, perception, learning and cognitive development, as well as behavioral studies. [CREDIT: Y. ASANO ET AL./SCIENCE ROBOTICS]