The Biped Walking Robot Lola

Buschmann, Thomas; Schwienbacher, Markus; Favot, Valerio; Ewald, Alex; Ulbrich, H.

doi:10.7210/jrsj.30.363

Cited by 7 publications

(1 citation statement)

References 6 publications

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“…Research on humanoid robots has made rapid progress and several humanoid robots have been developed with mobility and operability for performing typical daily tasks in human environments, like ASIMO of Honda (Hirose and Ogawa 2007), WABIAN of Waseda University (Ogura et al 2006), HRP of AIST/KAWADA (Kaneko et al 2009), LOLA of Technical University Munich (Buschmann et al 2012), and HUBO of KAIST (Zucker et al 2015).…”

Section: Introductionmentioning

confidence: 99%

LARMbot: A New Humanoid Robot with Parallel Mechanisms

Cafolla

Wang

Carbone

et al. 2016

ROMANSY 21 - Robot Design, Dynamics and Control

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LARMbot humanoid robot is presented with its peculiar design as based on mechanisms with parallel architecture. The mechanical design is described as motivated by biomimetic inspiration to human anatomy and functionality. The mechanical structure of the main parts are discussed with performance characterization. A prototype is presented with a built solution with low-cost solution and useroriented operation by using commercial components and 3D printing manufacturing.

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Section: Introductionmentioning

confidence: 99%

LARMbot: A New Humanoid Robot with Parallel Mechanisms

Cafolla

Wang

Carbone

et al. 2016

ROMANSY 21 - Robot Design, Dynamics and Control

View full text Add to dashboard Cite

show abstract

Learning to Use Toes in a Humanoid Robot

Dorer¹

2018

RoboCup 2017: Robot World Cup XXI

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In this paper we show that a model-free approach to learn behaviors in joint space can be successfully used to utilize toes of a humanoid robot. Keeping the approach model-free makes it applicable to any kind of humanoid robot, or robot in general. Here we focus on the benefit on robots with toes which is otherwise more difficult to exploit. The task has been to learn different kick behaviors on simulated Nao robots with toes in the RoboCup 3D soccer simulator. As a result, the robot learned to step on its toe for a kick that performs 30% better than learning the same kick without toes.

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