2020 IEEE Aerospace Conference 2020
DOI: 10.1109/aero47225.2020.9172301
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Using Elastically Actuated Legged Robots in Rough Terrain: Experiments with DLR Quadruped bert

Abstract: This paper addresses walking and balancing in rough terrain for legged locomotion in planetary exploration as an alternative to the commonly used wheeled locomotion. In contrast to the latter, where active balancing is not necessary, legged locomotion requires constant effort to keep the main body stabilized during motion. While common quadrupedal robots require to carefully plan motions through torque control and force distribution, this paper presents an approach where elastic elements in the drive train fun… Show more

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Cited by 8 publications
(3 citation statements)
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“…We consider here the application of proposed algorithm to the quadruped Bert [13]. This system is built using four of the above discussed soft segmented legs.…”
Section: Experiments With a Quadrupedmentioning
confidence: 99%
See 1 more Smart Citation
“…We consider here the application of proposed algorithm to the quadruped Bert [13]. This system is built using four of the above discussed soft segmented legs.…”
Section: Experiments With a Quadrupedmentioning
confidence: 99%
“…We will introduce a simplified control strategy, and we will test its effectiveness on this system to implement swing-like oscillations. Preliminary application to the articulated soft robotic quadruped Bert [13] is also provided, showing that these techniques can be employed to implement locomotion.…”
Section: Introductionmentioning
confidence: 99%
“…Especially in rough and uneven terrain, adaptable foot placement allows for more flexibility of legged robots in comparison to their wheeled counterparts [1]. Therefore, various legged robots are being developed with one of the most intensely researched type being quadrupeds, such as MIT's Mini Cheetah [2], EPFL's Cheetah Cub [3], ANYmal [4], Boston Dynamics' Spot robot [5] as well as Bert [6], [7] (see Fig. 1) developed by the German Aerospace Center (DLR).…”
Section: Introductionmentioning
confidence: 99%