4.3 Article

PedestriANS: a bipedal robot with adaptive morphology

Journal

ADAPTIVE BEHAVIOR
Volume 29, Issue 4, Pages 369-382

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/1059712320905177

Keywords

Actuator network system; bipedal robot; adaptive morphology; locomotion; whole body dynamics

Funding

  1. JST ERATO, Japan [JPMJER1401]
  2. JSPS, Japan [JP17H04698]

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This study introduces the development of a bipedal robot with adaptive morphology, enabling it to adjust its physical characteristics of legs and their interactions through an actuator network system. The main and supplementary experiments show that adjusting the robot's morphology can change its behavior to adapt to different environments.
In diverse situations, humans produce natural and adaptable bipedal locomotion by cooperatively manipulating the interactions among the different parts of their bodies and the environment. Therefore, to realize a robot with adaptable behavior, it should be enabled to adjust its morphology accordingly in response to environmental changes. From this perspective, this study introduces the development of a bipedal robot with adaptive morphology. By implementing an actuator network system (ANS), the robot is able to manipulate the physical characteristics of its legs and the way they interact with each other. Two experiments have been conducted: main and supplementary experiments. The main experiment examined how effective is adjusting the robot's morphology on changing the robot's behavior. The experiment was conducted on different ground materials and under different connection patterns between the robot's legs. During the experiment, the robot's behavior was evaluated in reference to four aspects: walking style, stability, speed, and moving direction. The supplementary experiment took the results of the main experiment and used it to improve the robot's behavior during locomotion. The robot was enabled to automatically switch between the different connection patterns of the ANS, which in turn changed the interaction between the robot's legs and generated a more suitable dynamics for the surrounding environment.

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