File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/TRO.2025.3600127
- Scopus: eid_2-s2.0-105013790252
- Find via

Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Article: A High-Payload Robotic Hopper Powered by Bidirectional Thrusters
| Title | A High-Payload Robotic Hopper Powered by Bidirectional Thrusters |
|---|---|
| Authors | |
| Keywords | autonomous navigation high payload Hopping legged robots neural network SLIP |
| Issue Date | 1-Jan-2025 |
| Publisher | Institute 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 Identifier | http://hdl.handle.net/10722/362392 |
| ISSN | 2023 Impact Factor: 9.4 2023 SCImago Journal Rankings: 3.669 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Li, Song | - |
| dc.contributor.author | Bai, Songnan | - |
| dc.contributor.author | Jia, Ruihan | - |
| dc.contributor.author | Cai, Yixi | - |
| dc.contributor.author | Ding, Runze | - |
| dc.contributor.author | Shi, Yu | - |
| dc.contributor.author | Zhang, Fu | - |
| dc.contributor.author | Chirarattananon, Pakpong | - |
| dc.date.accessioned | 2025-09-23T00:31:12Z | - |
| dc.date.available | 2025-09-23T00:31:12Z | - |
| dc.date.issued | 2025-01-01 | - |
| dc.identifier.citation | IEEE Transactions on Robotics, 2025, v. 41, p. 5307-5326 | - |
| dc.identifier.issn | 1552-3098 | - |
| dc.identifier.uri | http://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.language | eng | - |
| dc.publisher | Institute of Electrical and Electronics Engineers | - |
| dc.relation.ispartof | IEEE Transactions on Robotics | - |
| dc.subject | autonomous navigation | - |
| dc.subject | high payload | - |
| dc.subject | Hopping | - |
| dc.subject | legged robots | - |
| dc.subject | neural network | - |
| dc.subject | SLIP | - |
| dc.title | A High-Payload Robotic Hopper Powered by Bidirectional Thrusters | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1109/TRO.2025.3600127 | - |
| dc.identifier.scopus | eid_2-s2.0-105013790252 | - |
| dc.identifier.volume | 41 | - |
| dc.identifier.spage | 5307 | - |
| dc.identifier.epage | 5326 | - |
| dc.identifier.eissn | 1941-0468 | - |
| dc.identifier.issnl | 1552-3098 | - |
