View Chapter

Chapter 67 — Humanoids

Paul Fitzpatrick, Kensuke Harada, Charles C. Kemp, Yoshio Matsumoto, Kazuhito Yokoi and Eiichi Yoshida

Humanoid robots selectively immitate aspects of human form and behavior. Humanoids come in a variety of shapes and sizes, from complete human-size legged robots to isolated robotic heads with human-like sensing and expression. This chapter highlights significant humanoid platforms and achievements, and discusses some of the underlying goals behind this area of robotics. Humanoids tend to require the integration ofmany of the methods covered in detail within other chapters of this handbook, so this chapter focuses on distinctive aspects of humanoid robotics with liberal cross-referencing.

This chapter examines what motivates researchers to pursue humanoid robotics, and provides a taste of the evolution of this field over time. It summarizes work on legged humanoid locomotion, whole-body activities, and approaches to human–robot communication. It concludes with a brief discussion of factors that may influence the future of humanoid robots.

3-D, collision-free motion combining locomotion and manipulation by humanoid robot HRP-2

Author  Eiichi Yoshida

Video ID : 594

This video shows an example of 3-D, whole-body motion generation combining manipulation and dynamic biped locomotion, based on two-stage motion generation. At the first stage, the motion planner generates the upper-body motion with a walking path of the bounding box of the lower body. The second stage overlays the desired upper-body motion on the dynamically-stable walking motions generated by a dynamic walking-pattern generator, based on preview control of ZMP for a linear, inverted-pendulum model. If collisions occur, the planner goes back to the first stage to reshape the trajectory until collision-free motion is obtained.

Whole-body "pivoting" manipulation

Author  Eiichi Yoshida

Video ID : 595

The humanoid robot performs "pivoting" manipulation to carry a bulky object without lifting. A coarse path of the object towards its goal position is first planned to compute the trajectory of the hands which perform the manipulation. Then foot positions are determined along the object path, from which the COM trajectory is derived using the dynamic walking-pattern generator. Those tasks are provided to the inverse kinematics to generate the coordinated arm and leg motion for this complex manipulation. The second video shows the motion planning combining pivoting manipulation and free walking motion in a more complex environment.

Footstep planning modeled as a whole-body, inverse-kinematic problem

Author  Eiichi Yoshida

Video ID : 596

An augmented-robot structure was introduced as "virtual" planar links attached to a foot that represents footsteps. This modeling makes it possible to solve the footstep planning as a problem of inverse kinematics, and also to determine the final whole-body configuration. After planning the footsteps, the dynamically-stable, whole-body motion including walking can be computed by using a dynamic pattern generator.

Dynamic multicontact motion

Author  Eiichi Yoshida

Video ID : 597

A method to plan optimal whole-body, dynamic motion in multicontact non-gaited transitions has been developed. Using a B-spline time parameterization for the active joints, we turn the motion-planning problem into a semi-infinite programming formulation which is solved by nonlinear optimization techniques. We address the problem of the balance within the optimization problem and demonstrate that generating whole-body multicontact dynamic motion for complex tasks is possible.

3-D, collision-free motion combining locomotion and manipulation by humanoid robot HRP-2 (experiment)

Author  Eiichi Yoshida

Video ID : 598

In this video, the whole-body motion generation described in video 598 is experimentally validated, using the HRP-2 humanoid robot.

Regrasp planning for pivoting manipulation by a humanoid robot

Author  Eiichi Yoshida

Video ID : 599

The pivoting manipulation presented in video 597 is extended for the humanoid robot to carry a bulky object in a constrained environment. Using multiple roadmaps with different grasping positions and free walking motions, the humanoid robot can set down the object near narrow places and then regrasp it from another position to move the object to the goal.

Footstep planning modeled as a whole-body, inverse-kinematic problem (experiment)

Author  Eiichi Yoshida

Video ID : 600

The whole-body, inverse-kinematic motion including locomotion in video 596 has been experimentally validated by using HPR-2 humanoid robot. The challenging motion-planning problem of picking up an object almost between its feet has been successfully solved with the proposed framework.