M
Masayuki Inaba
Researcher at University of Tokyo
Publications - 729
Citations - 13219
Masayuki Inaba is an academic researcher from University of Tokyo. The author has contributed to research in topics: Humanoid robot & Robot. The author has an hindex of 50, co-authored 668 publications receiving 11794 citations. Previous affiliations of Masayuki Inaba include Microsoft & Toyota.
Papers
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Journal ArticleDOI
Learning by watching: extracting reusable task knowledge from visual observation of human performance
TL;DR: A novel task instruction method for future intelligent robots that learns reusable task plans by watching a human perform assembly tasks is presented, which results in a hierarchical task plan describing the higher level structure of the task.
Journal ArticleDOI
Dynamically-Stable Motion Planning for Humanoid Robots
TL;DR: An approach to path planning for humanoid robots that computes dynamically-stable, collision-free trajectories from full-body posture goals that generally applies to any robot subject to balance constraints (legged or not).
Proceedings ArticleDOI
Online generation of humanoid walking motion based on a fast generation method of motion pattern that follows desired ZMP
TL;DR: This paper presents an efficient online method to generate humanoid walking motions that satisfy desired upper body trajectories while simultaneously carrying objects through a fast motion pattern generation technique that follows the desired ZMP.
Motion Planning for Humanoid Robots.
James J. Kuffner,James J. Kuffner,Koichi Nishiwaki,Satoshi Kagami,Masayuki Inaba,Hirochika Inoue +5 more
TL;DR: In this article, the authors give an overview of some of the recent efforts to develop motion planning methods for humanoid robots for application tasks involving navigation, object grasping and manipulation, footstep placement, and dynamically-stable full-body motions.
Proceedings ArticleDOI
Visual navigation using view-sequenced route representation
TL;DR: A new visual representation of the route, the "view-sequenced route representation (VSRR)," which contains a sequence of front view images along a route memorized in the recording run, and an easy procedure for acquiring and a quick control procedure using VSRRs.