Arm/trunk motion generation for humanoid robot
β Scribed by DengPeng Xing; JianBo Su
- Publisher
- Science in China Press (SCP)
- Year
- 2010
- Tongue
- English
- Weight
- 429 KB
- Volume
- 53
- Category
- Article
- ISSN
- 1674-733X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Human behaviors consist of both voluntary and involuntary motions. Almost all behaviors of task-oriented robots, however, consist solely of voluntary motions. Involuntary motions are important for generating natural motions like those of humans. Thus, we propose a natural behavior generation method
This paper describes a sensory-based biped walking motion instruction strategy. Visual and auditory sensors are employed to generate walking patterns according to human orders and to memorize various complete walking patterns effectively and systematically. The motion of lower-limbs for locomotion i
Trunk motions are typically used in biped robots to stabilize the locomotion. However, they can be very large for some leg trajectories unless they are carefully designed. This paper proposes a fuzzy-logic zero-moment-point (ZMP) trajectory generator that would eventually reduce the swing motion of