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Cited by 176

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

High speed locomotion for a quadrupedal microrobot

Baisch, Andrew T., Ozcan, Onur, Goldberg, Benjamin, Ithier, Daniel, Wood, Robert J.·2014·The International Journal of Robotics Research

Abstract

Research over the past several decades has elucidated some of the mechanisms behind high speed, highly efficient, and robust locomotion in insects such as cockroaches. Roboticists have used this information to create biologically inspired machines capable of running, jumping, and climbing robustly over a variety of terrains. To date, little work has been done to develop an at-scale insect-inspired robot capable of similar feats due to challenges in fabrication, actuation, and electronics integration for a centimeter-scale device. This paper addresses these challenges through the design, fabrication, and control of a 1.27 g walking robot, the Harvard Ambulatory MicroRobot (HAMR). The current design is manufactured using a method inspired by pop-up books that enables fast and repeatable assembly of the miniature walking robot. Methods to drive HAMR at low and high speeds are presented, resulting in speeds up to 0.44 m/s (10.1 body lengths per second) and the ability to maneuver and control the robot along desired trajectories.

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Metadata

Authors
Baisch, A. T., Ozcan, O., Goldberg, B., Ithier, D., & Wood, R. J.
Venue
The International Journal of Robotics Research
Published
2014-05-01
Volume
33
Issue
8
Pages
1063-1082
ISSN
  • 0278-3649 (ISSN-L)
  • 1741-3176
OpenAlex
W1975023576
Cited by
176
References
2
FWCI
4.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High speed locomotion for a quadrupedal microrobot. https://app.cochat.ai/papers/10.1177/0278364914521473
The paper
Baisch, A. T., Ozcan, O., Goldberg, B., Ithier, D., & Wood, R. J. (2014). High speed locomotion for a quadrupedal microrobot. The International Journal of Robotics Research. https://doi.org/10.1177/0278364914521473

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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