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Masaki Murooka

Ph.D. in Information Science and Technology

Affiliation

National Institute of Advanced Industrial Science and Technology (AIST), Japan

Robot Software Platform Research Team, Integrated Research Center for Advanced Manufacturing
(Concurrent) CNRS-AIST Joint Robotics Laboratory, IRL3218, Intelligent Systems Research Institute
(Concurrent) Embodied Al Research Team, Artificial Intelligence Research Center

Senior Researcher

Experience

Professional Experience

Education

Research Interests

I'm engaged in robotics research from various perspectives, encompassing motion planning and control to perception and learning, with a focus on humanoid robots and manipulation.

Whole-body Loco-Manipulation by Humanoid Robots

I am engaged in research on motion generation methods that enable humanoid robots to transport large, heavy objects while maintaining balance through various manipulation modes such as pushing, rolling, and pivoting.

whole-body-manipulation

Robot Motion Generation via Imitation Learning

I am engaged in research on achieving complex manipulation through imitation learning using human demonstrations, and in developing an open-source software framework for robot imitation learning.

imitation-learning

Robot Control Based on Tactile Sensing

I am working on research that utilizes tactile information in model predictive control and imitation learning to enable multi-contact motion and object manipulation involving whole-body contact, by equipping distributed tactile sensors on the robot's body surface.

tactile-motion

Motion Generation for High-DOF Robots Based on Optimization

I am researching how to formulate and efficiently solve complex motion generation problems for high-degree-of-freedom robots as optimization problems, such as motion trajectory planning including robot placement and manipulation posture generation involving whole-body contact.

optimization-motion

Manipulation Based on Physical Consistency Inference from Visual and Force Sensing

I am engaged in research where robots estimate physical properties based on visual and force feedback while manipulating unknown objects, and adaptively generate motions according to the estimation results.

physics-reasoning

Selected Publications

tactile-imitation-2025

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality

Masaki Murooka, Takahiro Hoshi, Kensuke Fukumitsu, Shimpei Masuda, Marwan Hamze, Tomoya Sasaki, Mitsuharu Morisawa, Eiichi Yoshida

IEEE Robotics and Automation Letters, 2025.

tactile-multicontact-2024

Whole-Body Multi-Contact Motion Control for Humanoid Robots Based on Distributed Tactile Sensors

Masaki Murooka, Kensuke Fukumitsu, Marwan Hamze, Mitsuharu Morisawa, Hiroshi Kaminaga, Fumio Kanehiro, Eiichi Yoshida

IEEE Robotics and Automation Letters, vol. 9, no. 11, pp. 10620-10627, 2024.

multicontact-preview-control

Centroidal Trajectory Generation and Stabilization Based on Preview Control for Humanoid Multi-Contact Motion

Masaki Murooka, Mitsuharu Morisawa, Fumio Kanehiro

IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 8225-8232, 2022 (Presented at IROS 2022).

locomanip-control

Humanoid Loco-Manipulations Pattern Generation and Stabilization Control

Masaki Murooka, Kevin Chappellet, Arnaud Tanguy, Mehdi Benallegue, Iori Kumagai, Mitsuharu Morisawa, Fumio Kanehiro, Abderrahmane Kheddar

IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 5597-5604, 2021 (Presented at IROS 2021).

locomanip-planning

Humanoid Loco-Manipulation Planning Based on Graph Search and Reachability Maps

Masaki Murooka, Iori Kumagai, Mitsuharu Morisawa, Fumio Kanehiro, Abderrahmane Kheddar

IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 1840-1847, 2021 (Presented at ICRA 2021).

wholebody-contact-optimization

Optimization-Based Posture Generation for Whole-Body Contact Motion by Contact Point Search on the Body Surface

Masaki Murooka, Kei Okada, Masayuki Inaba

IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 2905-2912, 2020 (Presented at ICRA 2020).

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