World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
8434
World Ranking
6079
National Ranking
113

Overview

Kei Okada is affiliated with the University of Tokyo in Japan. Their research spans a range of topics within engineering and computer science, focusing primarily on robotics and related fields. Okada has contributed extensively to the areas of biomedical engineering, control and systems engineering, computer vision and pattern recognition, mechanical engineering, and artificial intelligence.

The scientist's main fields of study include:

  • Engineering
  • Computer Science

Okada's subfields of study emphasize:

  • Biomedical Engineering
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Mechanical Engineering
  • Artificial Intelligence

Their research covers several core topics, notably:

  • Robotic Locomotion and Control
  • Robot Manipulation and Learning
  • Robotic Path Planning Algorithms
  • Modular Robots and Swarm Intelligence
  • Robotics and Automated Systems
  • Soft Robotics and Applications
  • Robotics and Sensor-Based Localization

Okada has published prolifically across a variety of respected venues. Frequent publication venues include:

  • The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Advanced Robotics
  • 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)

Recent notable papers include:

  • "TrTr: Visual Tracking with Transformer," 2021, arXiv (Cornell University)
  • "Service robot introduction to a restaurant enhances both labor productivity and service quality," 2020, Procedia CIRP
  • "Bilateral Humanoid Teleoperation System Using Whole-Body Exoskeleton Cockpit TABLIS," 2020, IEEE Robotics and Automation Letters
  • "Versatile articulated aerial robot DRAGON: Aerial manipulation and grasping by vectorable thrust control," 2022, The International Journal of Robotics Research
  • "Musculoskeletal AutoEncoder: A Unified Online Acquisition Method of Intersensory Networks for State Estimation, Control, and Simulation of Musculoskeletal Humanoids," 2020, IEEE Robotics and Automation Letters

Frequent co-authors in Okada's research collaborations include:

  • Masayuki Inaba
  • Kento Kawaharazuka
  • Moju Zhao
  • Yuki Asano
  • Koji Kawasaki

Best Publications

  • Analysis and Observations From the First Amazon Picking Challenge

    Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

  • Alignment of the ALICE Inner Tracking System with cosmic-ray tracks

    K. Aamodt;N. Abel;U. Abeysekara;A. Abrahantes Quintana

  • Home-Assistant Robot for an Aging Society

    K. Yamazaki;R. Ueda;S. Nozawa;M. Kojima

  • Design, Modeling, and Control of an Aerial Robot DRAGON: A Dual-Rotor-Embedded Multilink Robot With the Ability of Multi-Degree-of-Freedom Aerial Transformation

    Moju Zhao;Tomoki Anzai;Fan Shi;Xiangyu Chen

  • Plane segment finder: algorithm, implementation and applications

    K. Okada;S. Kagami;M. Inaba;H. Inoue

  • Humanoid motion generation system on HRP2-JSK for daily life environment

    K. Okada;T. Ogura;A. Haneda;J. Fujimoto

  • Design of high torque and high speed leg module for high power humanoid

    Junichi Urata;Yuto Nakanishi;Kei Okada;Masayuki Inaba

  • Development of life-sized high-power humanoid robot JAXON for real-world use

    Kunio Kojima;Tatsuhi Karasawa;Toyotaka Kozuki;Eisoku Kuroiwa

  • Online decision of foot placement using singular LQ preview regulation

    Junichi Urata;Koichi Nshiwaki;Yuto Nakanishi;Kei Okada

  • Vision based behavior verification system of humanoid robot for daily environment tasks

    Kei Okada;Mitsuharu Kojima;Yuichi Sagawa;Toshiyuki Ichino

  • Human mimetic musculoskeletal humanoid Kengoro toward real world physically interactive actions

    Yuki Asano;Toyotaka Kozuki;Soichi Ookubo;Masaya Kawamura

  • Design principles of a human mimetic humanoid: Humanoid platform to study human intelligence and internal body system

    Yuki Asano;Kei Okada;Masayuki Inaba

  • Design concept of detail musculoskeletal humanoid “Kenshiro” - Toward a real human body musculoskeletal simulator

    Yuto Nakanishi;Yuki Asano;Toyotaka Kozuki;Hironori Mizoguchi

  • Experience-based planning with sparse roadmap spanners

    David Coleman;Ioan A. Sucan;Mark Moll;Kei Okada

  • Service robot introduction to a restaurant enhances both labor productivity and service quality

    Unknown

  • Whole-body aerial manipulation by transformable multirotor with two-dimensional multilinks

    Moju Zhao;Koji Kawasaki;Xiangyu Chen;Shintaro Noda

  • Lessons from the Amazon Picking Challenge.

    Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

  • Transformable multirotor with two-dimensional multilinks: Modeling, control, and whole-body aerial manipulation

    Unknown

  • Environment manipulation planner for humanoid robots using task graph that generates action sequence

    K. Okada;A. Haneda;H. Nakai;M. Inaba

  • Multi-cue 3D object recognition in knowledge-based vision-guided humanoid robot system

    K. Okada;M. Kojima;S. Tokutsu;T. Maki

  • TrTr: Visual Tracking with Transformer.

    Moju Zhao;Kei Okada;Masayuki Inaba

  • Online walking pattern generation for push recovery and minimum delay to commanded change of direction and speed

    Junichi Urata;Koichi Nshiwaki;Yuto Nakanishi;Kei Okada

Frequent Co-Authors

Masayuki Inaba
Masayuki Inaba University of Tokyo
Hirochika Inoue
Hirochika Inoue National Institute of Advanced Industrial Science and Technology
Satoshi Kagami
Satoshi Kagami National Institute of Advanced Industrial Science and Technology
Peter Braun-Munzinger
Peter Braun-Munzinger GSI Helmholtz Centre for Heavy Ion Research
Koichi Nishiwaki
Koichi Nishiwaki National Institute of Advanced Industrial Science and Technology
James J. Kuffner
James J. Kuffner Toyota Motor Corporation (United States)
Dieter Røhrich
Dieter Røhrich University of Bergen
C. Roy
C. Roy Centre national de la recherche scientifique, CNRS
Michael Beetz
Michael Beetz University of Bremen

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