Detecting Scalable Obstacles Using Soft Sensors in the Body of a Compliant Quadruped

Özbek, Doğa; Yilmaz, Talip Batuhan; Kalın, Mert Ali İhsan; Senturk, Kutay; Özcan, Onur

doi:10.1109/lra.2022.3141655

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Cited by 6 publications

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“…The authors [23] focus on a topology optimisation method (TOM) needed for precise multi-axis inertia sensing needed in self-positioning autonomous robot control. The work [24] explores a soft sensing optimisation scheme for detecting obstacles and discriminating the scalable obstacles using an untethered miniature, soft, C-legged robot, M-SQuad, the first modular C-legged quadruped consisting of three modules. The authors [25] have developed an optimisation model, addressed with an elitist preservation genetic algorithm (EGA).…”

Section: Literature Reviewmentioning

confidence: 99%