Evidence map›Paper›PMID 36014183›Full record

ArticleMicromachines2022

Stable and Fast Planar Jumping Control Design for a Compliant One-Legged Robot.

Guifu Luo, Ruilong Du, Sumian Song, Haihui Yuan, Zhiyong Huang, Hua Zhou, Jason Gu

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 49% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Guifu LuoState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.
Ruilong DuIntelligent Robot Research Center, Zhejiang Lab, Hangzhou 311100, China.
Sumian SongIntelligent Robot Research Center, Zhejiang Lab, Hangzhou 311100, China.
Haihui YuanIntelligent Robot Research Center, Zhejiang Lab, Hangzhou 311100, China.
Zhiyong HuangIntelligent Robot Research Center, Zhejiang Lab, Hangzhou 311100, China.
Hua ZhouState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.
Jason GuDepartment of Electrical Engineering, Dalhousie University, Halifax, NS B3J 1Z1, Canada.
Zhejiang Lab · CNZhejiang University · CNDalhousie University · CA

Funding

National Key Research and Development Project 2018YFB2001203National Natural Science Foundation of China No.51821093National Natural Science Foundation of China No.51890885National Natural Science Foundation of China No. 51905495NSF Project of Zhejiang Province No. LQ20E050009NSF Project of Zhejiang Province No. LQ21F030003
6 · The paper itself

Abstract

Compliant bipedal robots demonstrate a potential for impact resistance and high energy efficiency through the introduction of compliant elements. However, it also adds to the difficulty of stable control of the robot. To motivate the control strategies of compliant bipedal robots, this work presents an improved control strategy for the stable and fast planar jumping of a compliant one-legged robot designed by the authors, which utilizes the concept of the virtual pendulum. The robot was modeled as an extended spring-loaded inverted pendulum (SLIP) model with non-negligible torso inertia, leg inertia, and leg damping. To enable the robot to jump forward stably, a foot placement method was adopted, where due to the asymmetric feature of the extended SLIP model, a variable time coefficient and an integral term with respect to the forward speed tracking error were introduced to the method to accurately track a given forward speed. An energy-based leg rest length regulation method was used to compensate for the energy dissipation due to leg damping, where an integral term, regarding jumping height tracking error, was introduced to accurately track a given jumping height. Numerical simulations were conducted to validate the effectiveness of the proposed control strategy. Results show that stable and fast jumping of compliant one-legged robots could be achieved, and the desired forward speed and jumping height could also be accurately tracked. In addition to that, using the proposed control strategy, the robust jumping performance of the robot could be observed in the presence of disturbances from state variables or uneven terrain.

Indexed as

compliant one-legged robotscontrol strategyplanar jumpingrobustnessstable and fast locomotionuneven terrain

Identifiers

PMID36014183
PMCPMC9415179
OpenAlexW4290720574

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.