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Article: A High-Payload Robotic Hopper Powered by Bidirectional Thrusters

TitleA High-Payload Robotic Hopper Powered by Bidirectional Thrusters
Authors
Keywordsautonomous navigation
high payload
Hopping
legged robots
neural network
SLIP
Issue Date1-Jan-2025
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Robotics, 2025, v. 41, p. 5307-5326 How to Cite?
Abstract

Mobile robots have revolutionized various fields, offering solutions for manipulation, environmental monitoring, and exploration. However, payload capacity remains a limitation. This paper presents a novel thrust-based robotic hopper capable of carrying payloads up to 9 times its own weight while maintaining agile mobility over less structured terrain. The 220 gram robot carries up to 2 kg while hopping—–a capability that bridges the gap between high-payload ground robots and agile aerial platforms. Key advancements that enable this high-payload capacity include the integration of bidirectional thrusters, allowing for both upward and downward thrust generation to enhance energy management while hopping. Additionally, we present a refined model of dynamics that accounts for heavy payload conditions, particularly for large jumps. To address the increased computational demands, we employ a neural network compression technique, ensuring real-time onboard control. The robot's capabilities are demonstrated through a series of experiments, including leaping over a high obstacle, executing sharp turns with large steps, as well as performing simple autonomous navigation while carrying a 730 g LiDAR payload. This showcases the robot's potential for applications such as mobile sensing and mapping in challenging environments.


Persistent Identifierhttp://hdl.handle.net/10722/362392
ISSN
2023 Impact Factor: 9.4
2023 SCImago Journal Rankings: 3.669

 

DC FieldValueLanguage
dc.contributor.authorLi, Song-
dc.contributor.authorBai, Songnan-
dc.contributor.authorJia, Ruihan-
dc.contributor.authorCai, Yixi-
dc.contributor.authorDing, Runze-
dc.contributor.authorShi, Yu-
dc.contributor.authorZhang, Fu-
dc.contributor.authorChirarattananon, Pakpong-
dc.date.accessioned2025-09-23T00:31:12Z-
dc.date.available2025-09-23T00:31:12Z-
dc.date.issued2025-01-01-
dc.identifier.citationIEEE Transactions on Robotics, 2025, v. 41, p. 5307-5326-
dc.identifier.issn1552-3098-
dc.identifier.urihttp://hdl.handle.net/10722/362392-
dc.description.abstract<p>Mobile robots have revolutionized various fields, offering solutions for manipulation, environmental monitoring, and exploration. However, payload capacity remains a limitation. This paper presents a novel thrust-based robotic hopper capable of carrying payloads up to 9 times its own weight while maintaining agile mobility over less structured terrain. The 220 gram robot carries up to 2 kg while hopping—–a capability that bridges the gap between high-payload ground robots and agile aerial platforms. Key advancements that enable this high-payload capacity include the integration of bidirectional thrusters, allowing for both upward and downward thrust generation to enhance energy management while hopping. Additionally, we present a refined model of dynamics that accounts for heavy payload conditions, particularly for large jumps. To address the increased computational demands, we employ a neural network compression technique, ensuring real-time onboard control. The robot's capabilities are demonstrated through a series of experiments, including leaping over a high obstacle, executing sharp turns with large steps, as well as performing simple autonomous navigation while carrying a 730 g LiDAR payload. This showcases the robot's potential for applications such as mobile sensing and mapping in challenging environments.</p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Robotics-
dc.subjectautonomous navigation-
dc.subjecthigh payload-
dc.subjectHopping-
dc.subjectlegged robots-
dc.subjectneural network-
dc.subjectSLIP-
dc.titleA High-Payload Robotic Hopper Powered by Bidirectional Thrusters -
dc.typeArticle-
dc.identifier.doi10.1109/TRO.2025.3600127-
dc.identifier.scopuseid_2-s2.0-105013790252-
dc.identifier.volume41-
dc.identifier.spage5307-
dc.identifier.epage5326-
dc.identifier.eissn1941-0468-
dc.identifier.issnl1552-3098-

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