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Meet ANIBOT: The First Biologically-Inspired Animal Robot

Visarath In, Andy Kho, Patrick Longhini, Joseph Neff, Antonio Palacios, Pietro-Luciano Buono

Year
2022
Citations
9

Abstract

We present the first circuit realization of an animal (quadruped) robot controlled by a Central Pattern Generator (CPG) network of neurons, whose model and design are biologically-inspired [Golubitsky et al., 1998, 1999]. We demonstrate, through hardware simulations of the CPG network and through video snapshots, that our electronic CPG and our animal robot can indeed reproduce, via symmetry-breaking Hopf bifurcations, all primary gaits — walk, jump, trot, bound, pace, and pronk — just as they were originally predicted by theory. The design and development of the circuit realization are discussed in great detail.

Keywords

Realization (probability)Central pattern generatorRobotJumpComputer scienceGenerator (circuit theory)CpG siteTopology (electrical circuits)Artificial intelligenceMathematics

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