Moonshot Goal 3
Realization of AI robots that autonomously learn, adapt to their environment, evolve in intelligence and act alongside human beings, by 2050.

Target of Moonshot Goal

  • Development of AI robots that humans feel comfortable with, have physical abilities equivalent to or greater than humans, and grow in harmony with human life, by 2050.
  • Development of AI robots that behave well with humans under certain conditions, and allow over 90% of people to feel comfortable with them, by 2030.
  • Development of an automated AI robot system that aims to discover impactful scientific principles and solutions, by thinking and acting in the field of natural science, by 2050.
  • Development of an automated AI robot system that aims to support the process of discovery for scientific principles and solutions to specific problems by 2030.
  • Development of AI robots that autonomously make judgements and act in environments where it is difficult for humans to act by 2050.
  • Development of AI robots that operate unattended under human supervision in specific circumstances by 2030.

Reference

reference

R&D Projects

PD: KUNIYOSHI Yasuo (Professor, The University of Tokyo)

(1) Integrated Research

PM R&D Project
OGATA Tetsuya
Waseda University
Smart Robot AIREC that is Close to One Person for a Lifetime
KAWAHARAZUKA Kento
The University of Tokyo
General-Purpose Autonomous Humanoids Growing through Multi-layered Instruction and Inheritance
HARADA Kensuke
The University of Osaka
Integrated Research and Development of Humanoids Capable of Operating in Challenging Environments

(2) Specialized Research

PM R&D Project
SAKAINO Sho
University of Tsukuba
Force Control as a Bridge between the Information World and the Physical World
NOZAKI Takahiro
Keio University
Robotics Platform for Emergent Intelligence Grounded in the Order of Embodied Interactions
HAYASHIBE Mitsuhiro
Tohoku University
Neuro-Robotics Pioneering Multimodal AI-Integrated Humanoid in Agriculture
MORIMOTO Jun
Kyoto University
Creation of Embodied Intelligence through Self-Reinforcing Capability Expansion

(3) Elemental Research

PM R&D Project
IIDA Fumiya
The University of Tokyo
Next-Generation Humanoid AI Robots through Whole-Body Tactile Intelligence
KAWAHARA Yoshinobu
The University of Osaka
Development of Dynamical Representation Learning for Cooperative Stable Motions and a Data‑Driven Motion Primitive Generation Framework
TAKEI Kuniharu
Hokkaido University
E-Skin-Integrated Robotic Hand Inspired by Human Tactile Perception and Cognition
TADAKUMA Kenjiro
The University of Osaka
Embodied Safety by Robotic Core Elements: Creating Intrinsically Safe Mechanisms by Extracting Principles from the Living Body’s Inherent Underactuated Drive Mechanisms
NAKAGAWA Chihiro
Osaka Metropolitan University
An AI Robot with a High-Efficiency Body for Mobility in Public Spaces
NONAKA Tetsushi
Kobe University
Learning to Learn: Principles of Active On-Site Learning for General-Purpose Robots
YOSHIMURA Natsue
Institute of Science Tokyo
An Elemental Study of Motion Assist Robots Capable of Inferring Human States