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Zhenjiang Jiang

dblp:304/4416 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0001-5229-1098ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Legged, aerial and field robots · 70% Robot manipulation · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › field robotics
climbing robot
0.512021
Design and Experiment of a Pneumatic Soft Climbing Robot · ICRA 2021
Robotics › Legged, aerial and field robots
field robotics
0.512021
Design and Experiment of a Pneumatic Soft Climbing Robot · ICRA 2021
Robotics › Robot manipulation
soft robotics
0.512021
Design and Experiment of a Pneumatic Soft Climbing Robot · ICRA 2021
Robotics › Legged, aerial and field robots
locomotion
0.112021
Design and Experiment of a Pneumatic Soft Climbing Robot · ICRA 2021

Methods — techniques the papers use, named apart from their topics

minimum potential energy · 0.5layer-by-layer casting · 0.5finite element analysis · 0.53d printing · 0.5
YearPublicationVenuePosition
2023 Combined compensation method of robot kinematics error based on MRIPN-IMA
Kaiwei Ma, Zhenjiang Jiang, Mingxing Yang, Fengyu Xu 0001
J. Supercomput.4
2021 Design and Experiment of a Pneumatic Soft Climbing Robot
abstract
This paper designed a pneumatic soft climbing robot by utilizing the high flexibility of soft materials. Capabilities of climbing and creeping through small spaces would rarely possible with a method based only on rigid links. At first, according to the drive mode of pneumatic networks, a model for soft climbing robots with different section having their independent stiffness was designed; afterwards, the analysis of visco-mechanical properties of robots at the contact surface were provided by using the method of minimum potential energy; on the basis, finite element analysis and experiment are given to analyze the climbing behaviors of the robot; finally, by employing 3-d printing and layer-by-layer casting, a prototype soft climbing robot was prepared to perform climbing experiments. The research is expected to provide a new method for monitoring complex unstructured environments.
Fengyu Xu 0001, Yuxuan Lu 0002, Zhenjiang Jiang, Guoping Jiang
ICRA3