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M. Hirose

Bio: M. Hirose is an academic researcher from Honda. The author has contributed to research in topics: Cartesian coordinate robot & Social robot. The author has an hindex of 1, co-authored 1 publications receiving 2019 citations.

Papers
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Proceedings ArticleDOI
K. Hirai1, M. Hirose1, Y. Haikawa1, Toru Takenaka1
16 May 1998
TL;DR: Due to its unique posture stability control, the Honda humanoid robot is able to maintain its balance despite unexpected complications such as uneven ground surfaces and to perform simple operations via wireless teleoperation.
Abstract: In this paper, we present the mechanism, system configuration, basic control algorithm and integrated functions of the Honda humanoid robot. Like its human counterpart, this robot has the ability to move forward and backward, sideways to the right or the left, as well as diagonally. In addition, the robot can turn in any direction, walk up and down stairs continuously. Furthermore, due to its unique posture stability control, the robot is able to maintain its balance despite unexpected complications such as uneven ground surfaces. As a part of its integrated functions, this robot is able to move on a planned path autonomously and to perform simple operations via wireless teleoperation.

2,050 citations


Cited by
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Proceedings ArticleDOI
10 Nov 2003
TL;DR: A new method of a biped walking pattern generation by using a preview control of the zero-moment point (ZMP) is introduced and a preview controller can be used to compensate the ZMP error caused by the difference between a simple model and the precise multibody model.
Abstract: We introduce a new method of a biped walking pattern generation by using a preview control of the zero-moment point (ZMP). First, the dynamics of a biped robot is modeled as a running cart on a table which gives a convenient representation to treat ZMP. After reviewing conventional methods of ZMP based pattern generation, we formalize the problem as the design of a ZMP tracking servo controller. It is shown that we can realize such controller by adopting the preview control theory that uses the future reference. It is also shown that a preview controller can be used to compensate the ZMP error caused by the difference between a simple model and the precise multibody model. The effectiveness of the proposed method is demonstrated by a simulation of walking on spiral stairs.

2,090 citations

Journal ArticleDOI
TL;DR: The paper gives an in-depth discussion of source results concerning ZMP, paying particular attention to some delicate issues that may lead to confusion if this method is applied in a mechanistic manner onto irregular cases of artificial gait, i.e. in the case of loss of dynamic balance of a humanoid robot.
Abstract: This paper is devoted to the permanence of the concept of Zero-Moment Point, widelyknown by the acronym ZMP. Thirty-five years have elapsed since its implicit presentation (actually before being named ZMP) to the scientific community and thirty-three years since it was explicitly introduced and clearly elaborated, initially in the leading journals published in English. Its first practical demonstration took place in Japan in 1984, at Waseda University, Laboratory of Ichiro Kato, in the first dynamically balanced robot WL-10RD of the robotic family WABOT. The paper gives an in-depth discussion of source results concerning ZMP, paying particular attention to some delicate issues that may lead to confusion if this method is applied in a mechanistic manner onto irregular cases of artificial gait, i.e. in the case of loss of dynamic balance of a humanoid robot. After a short survey of the history of the origin of ZMP a very detailed elaboration of ZMP notion is given, with a special review concerning “boundary cases” when the ZMP is close to the edge of the support polygon and “fictious cases” when the ZMP should be outside the support polygon. In addition, the difference between ZMP and the center of pressure is pointed out. Finally, some unresolved or insufficiently treated phenomena that may yield a significant improvement in robot performance are considered.

2,011 citations

Proceedings ArticleDOI
Yoshiaki Sakagami1, R. Watanabe1, C. Aoyama1, Shinichi Matsunaga1, Nobuo Higaki1, Kikuo Fujimura1 
10 Dec 2002
TL;DR: The structure of the robot system for intelligence, integrated subsystems on its body, and their new functions, and the behavior-based planning architecture on ASIMO and its vision and auditory system are explained.
Abstract: We present the system overview and integration of the ASIMO autonomous robot that can function successfully in indoor environments. The first model of ASIMO is already being leased to companies for receptionist work. In this paper, we describe the new capabilities that we have added to ASIMO. We explain the structure of the robot system for intelligence, integrated subsystems on its body, and their new functions. We describe the behavior-based planning architecture on ASIMO and its vision and auditory system. We describe its gesture recognition system, human interaction and task performance. We also discuss the external online database system that can be accessed using internet to retrieve desired information, the management system for receptionist work, and various function demonstrations.

1,434 citations

Journal ArticleDOI
TL;DR: In this article, a review of recent developments in artificial intelligence and neural computation: learning from imitation and the development of humanoid robots is presented. But the authors focus on three important issues: efficient motor learning, the connection between action and perception, and modular motor control in the form of movement primitives.

1,232 citations

Proceedings ArticleDOI
29 Oct 2001
TL;DR: Geometric nature of trajectories under the 3D-LIPM and a method for walking pattern generation are discussed, and a simulation result of a walking control using a 12-DOF biped robot model is shown.
Abstract: For 3D walking control of a biped robot we analyze the dynamics of a 3D inverted pendulum in which motion is constrained to move along an arbitrarily defined plane. This analysis yields a simple linear dynamics, the 3D linear inverted pendulum mode (3D-LIPM). Geometric nature of trajectories under the 3D-LIPM and a method for walking pattern generation are discussed. A simulation result of a walking control using a 12-DOF biped robot model is also shown.

1,033 citations