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Takashi Nagasaki

dblp:53/5093 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 2 first-authorSystems, architecture and hardware · 5 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
4 papers
Legged, aerial and field robots · 50% Motion planning and robot control · 50%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion
0.132005
A Running Controller of Humanoid Biped HRP-2LR · ICRA 2005
A Hop towards Running Humanoid Biped · ICRA 2004
Running Pattern Generation for a Humanoid Robot · ICRA 2002
Robotics › Legged, aerial and field robots › locomotion gait
running gait
0.132005
A Running Controller of Humanoid Biped HRP-2LR · ICRA 2005
A Hop towards Running Humanoid Biped · ICRA 2004
Running Pattern Generation for a Humanoid Robot · ICRA 2002
Robotics › Motion planning and robot control
robot control
0.122005
A Running Controller of Humanoid Biped HRP-2LR · ICRA 2005
Running pattern generation and its evaluation using a realistic humanoid model · ICRA 2003
Robotics › Motion planning and robot control › robot control › motion control
momentum control
0.122004
A Hop towards Running Humanoid Biped · ICRA 2004
Running pattern generation and its evaluation using a realistic humanoid model · ICRA 2003
Robotics › Motion planning and robot control
trajectory optimization
0.122004
A Hop towards Running Humanoid Biped · ICRA 2004
Running Pattern Generation for a Humanoid Robot · ICRA 2002
Robotics › Motion planning and robot control › locomotion control
balance control
0.112005
A Running Controller of Humanoid Biped HRP-2LR · ICRA 2005
Robotics › Legged, aerial and field robots
bipedal robot
0.012003
Running pattern generation and its evaluation using a realistic humanoid model · ICRA 2003
Robotics › Legged, aerial and field robots
legged robots
0.012003
Running pattern generation and its evaluation using a realistic humanoid model · ICRA 2003
Robotics › Motion planning and robot control
inverted pendulum model
0.012002
Running Pattern Generation for a Humanoid Robot · ICRA 2002

Methods — techniques the papers use, named apart from their topics

resolved momentum control · 0.1inverted pendulum stabilization · 0.1contact torque control · 0.1dynamic model · 0.0inverted pendulum dynamics · 0.0dynamic simulation · 0.0
YearPublicationVenuePosition
2005 A Running Controller of Humanoid Biped HRP-2LR
abstract
This article explains a control system, which stabilizes running biped robot HRP-2LR. The robot uses prescribed running pattern calculated by resolved momentum control, and a running controller stabilizes the system against disturbances. The running controller consists of posture stabilization, inverted pendulum stabilization, contact torque control, impact absorbing control, foot vertical force control and torque distribution control. Applying the proposed controller, HRP-2LR could successfully run with average speed of 0.16(m/s) repeating flight phase of 0.06 (s) and support phase of 0.3 (s).
Shuuji Kajita, Takashi Nagasaki, Kenji Kaneko, Kazuhito Yokoi, Kazuo Tanie
ICRA2
2004 A Hop towards Running Humanoid Biped
abstract
Aiming for a humanoid robot of the next generation, we have been developing a biped which can jump and run. This paper introduces biped robot HRP-2LR and its hopping with both legs as our first attempt towards running. Using a dynamic model of HRP-2LR, hopping patterns are pre-calculated so that it follows the desired profiles of the total linear and angular momentum. For this purpose we used resolved momentum control. Adding small modifications to negotiate the difference between the model and the real hardware, we successfully realized a steady hopping motion of 0.06 [s] flight phase and 0.5 [s] support phase. A hopping with forward velocity of 15 [mm/s] was also realized. Finally, a running pattern of 0.06 [s] flight and 03 [s] support phase was tested. HRP-2LR could successfully run with average speed of 0.16 [m/s].
Shuuji Kajita, Takashi Nagasaki, Kenji Kaneko, Kazuhito Yokoi, Kazuo Tanie
ICRA2
2004 A running experiment of humanoid biped
abstract
Aiming for a humanoid robot of the next generation, we have been developing a biped which can jump and run. This paper introduces a method of running pattern generation and running experiment of biped robot HRP-2LR. Based on the physical parameters of HRP-2LR, running patterns are pre-calculated so that it follows the desired profiles of the total linear and angular momentum. For this purpose we used resolved momentum control. The vertical momentum is calculated considering the compliant elements in order to realize accurate flight duration. The horizontal momentum is calculated to satisfy the ZMP patterns given in advance. Using our pattern, HRP-2LR could successfully run with average speed of 0.16[m/s] with repeat flight phase 0.06 [s] and support phase 0.3 [s].
Takashi Nagasaki, Shuuji Kajita, Kenji Kaneko, Kazuhito Yokoi, Kazuo Tanie
IROS1
2003 Running pattern generation and its evaluation using a realistic humanoid model
abstract
This paper describes a possibility of a running humanoid robot based on the physical properties of an existing humanoid robot HRP-2L. To generate running motion, we develop a general method to control the total linear/angular momentum of a multi-link system. By this method, we can generate a reliable running pattern. Conducting simulations which take into account physical restrictions, we show that our humanoid robot can run at least at 0.5 m/s.
Takashi Nagasaki, Shuuji Kajita, Kazuhito Yokoi, Kenji Kaneko, Kazuo Tanie
ICRA1
2002 Running Pattern Generation for a Humanoid Robot
abstract
A method of running pattern generation for a humanoid robot using the dynamics of a simple inverted pendulum is proposed. The dynamic simulation using a model of an actual humanoid robot shows that the robot can run by applying a generated pattern with slight modifications. The simulation is used to evaluate the required performance of the actuators for an actual running robot.
Shuuji Kajita, Takashi Nagasaki, Kazuhito Yokoi, Kenji Kaneko, Kazuo Tanie
ICRA2