Toward a Personalized Baby Rocker: Development of a Multi-Axis Motion Platform for Simulating Walking and Breathing Patterns

Garcia Gamarra GG, Cheeran CF, Kodakkadan FA, Chhetri LBR, Saddique A, Shahzeb Hassan SM, Franke J, Reitelshöfer S (2026)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2026

Publisher: IEEE Computer Society

Pages Range: 65-70

Conference Proceedings Title: 2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)

Event location: Vienna AT

ISBN: 979-8-3315-6446-9

DOI: 10.1109/ARSO68304.2026.11536134

Abstract

Infant soothing is a major concern for new parents, while the prenatal environment exposes the fetus to continuous rhythmic stimuli such as breathing, heartbeat, and locomotor motion. Current commercial baby rockers offer generic, repetitive movements that fail to replicate the complex motion patterns associated with human walking and breathing. This paper presents the design and development of a novel biomimetic system capable of learning and reproducing personalized walking and respiratory patterns. The system comprises two core components: a 3-DOF (Degrees of Freedom) robotic platform utilizing four mecanum wheels for planar motion (X, Y, rotation) and a scissor lift mechanism for vertical motion (Z-axis), and a data acquisition and processing pipeline. An accelerometer-based sensor captures kinematic data during rest and ambulation. This data is then filtered and fed into a machine learning algorithm that extracts individual motion signatures. The algorithm then translates these signatures into control commands for the platform, effectively recreating personalized gait and breathing rhythms. Preliminary results from a study with 10 participants demonstrate the system’s feasibility in capturing and replicating personalized motion patterns, paving the way for future personalized infant-soothing devices.

Authors with CRIS profile

Gabriela Mariel Garcia Gamarra Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Sebastian Reitelshöfer Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS)

How to cite

APA:

Garcia Gamarra, G.G., Cheeran, C.F., Kodakkadan, F.A., Chhetri, L.B.R., Saddique, A., Shahzeb Hassan, S.M.,... Reitelshöfer, S. (2026). Toward a Personalized Baby Rocker: Development of a Multi-Axis Motion Platform for Simulating Walking and Breathing Patterns. In 2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO) (pp. 65-70). Vienna, AT: IEEE Computer Society.

MLA:

Garcia Gamarra, Gabriela García, et al. "Toward a Personalized Baby Rocker: Development of a Multi-Axis Motion Platform for Simulating Walking and Breathing Patterns." Proceedings of the 2026 IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2026, Vienna IEEE Computer Society, 2026. 65-70.

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