Biped Robot Database
Biped Robot Research in the World

Here is the list of research sites which have intensive biped research project.
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Humanoid Robot H6
Perception-Action Integrated Humanoid Robot : H6

Human-shaped robots are well-suited for operating within environments designed for real humans. In order to provide an experimental research platform for full-body integrated sensing and control, the prototype Humanoid Robot "H6" is currently being developed at the JSK Laboratory at the University of Tokyo.
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Specifications : Construction of the first prototype was completed in June 2000 by Aircraft and Mechanical Systems Division of Kawada Industries, Inc. The height of the robot is 1370mm, the width is 590mm, and the mass is 55kg including 4kg of batteries. The robot has a total of 35 degrees of freedom (DOF): 6 for each leg, 1 for each foot (toe joint), 7 for each arm, 1 for each gripper, 2 for the neck, and 3 for the eyes. All major joints are driven by DC motors and Harmonic drive gears. An onboard PC equipped with dual PentiumIII-750MHz processors running RT-Linux is used for real-time servo and balance compensation, as well as coordinating high-level 3D vision and motion planning component software modules. The system is connected to the network via wireless ethernet. Thus, the robot is fully self-contained (it can be operated without any external cables).
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ASIMO 2

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Honda P3 One of the great challenges of the future is the development of concepts for mobility beyond the street, in the immediate, natural environment of human beings.

Not until a robot is able to move in this environment will it one day be a true aid to human beings and earn the attribute of "humanoid robot".
To come closer to this goal, Honda developed P3, which will now be described to you in more detail.
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Will robots ever learn to love?
The film A.I. has sparked a debate on artificial intelligence, so Roger Highfield asked leading researchers if man could build a machine with emotions.

A robot under development by Dr Stefan Schaal's team at the Computational Learning and Motor Control Lab, University of Southern California

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