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Jianguo Cai

dblp:89/5704 · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2026
—ORCID · conflict

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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.

Computer graphics and multimedia
1 paper
Computational fabrication · 100%
Artificial intelligence
1 paper
Robot manipulation · 56% Legged, aerial and field robots · 44%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › origami design
crease pattern design
1.012026
Generative design of crease patterns for wrapping fold origami structures · Comput. Aided Des. 2026
Computational fabrication
origami design
1.012026
Generative design of crease patterns for wrapping fold origami structures · Comput. Aided Des. 2026
Robotics › Legged, aerial and field robots › limbless locomotion
crawling robot
0.612022
Origami-Inspired Soft Actuators for Stimulus Perception and Crawling Robot Applications · IEEE Trans. Robotics 2022
Robotics › Robot manipulation
soft robotics
0.612022
Origami-Inspired Soft Actuators for Stimulus Perception and Crawling Robot Applications · IEEE Trans. Robotics 2022
Robotics › Robot manipulation › actuator design
pneumatic actuation
0.212022
Origami-Inspired Soft Actuators for Stimulus Perception and Crawling Robot Applications · IEEE Trans. Robotics 2022

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

generative design · 1.0kresling origami design · 0.6
YearPublicationVenuePosition
2026 A computational framework for simulating accurate deployment motion paths of rigid foldable origami tessellations
Marco Meloni, Qian Zhang 0026, Jianguo Cai
Comput. Aided Des.3
2026 Generative design of crease patterns for wrapping fold origami structures
Qian Zhang 0026, Changlong Shi, Huafei Xu, Tianzhen Liu, Jian Feng 0002, Lujiang Liu, Jianguo Cai
Comput. Aided Des.8
2026 An expert-informed and interpretable Naive Bayes framework for forest seedling classification from small samples
Ke Zhan, Jihe Zhang, Ailing Zhao, Jianguo Cai
Eng. Appl. Artif. Intell.4
2022 Origami-Inspired Soft Actuators for Stimulus Perception and Crawling Robot Applications
abstract
Origami has been proved as a valuable tool to develop deployable, multifunctional, and tunable devices for diverse engineering applications. Inspired by the Kresling origami, this article presents a soft pneumatic actuator with vacuum control to realize the compound motion of twist and contraction. The twist direction varies as the crease angle changes and it offers pure contraction after combining two actuators with reverse creases. Our actuator can lift 180 folds of its weight and achieve the contraction ratio of 47%, while the response time is below 0.3 s. The origami-based actuator can realize an adjustable bistable property, leading to the possibility for external stimulus detection and mechanical memory devices, where the sensitivity can be regulated by the initial vacuum pressure. Through several actuators, we demonstrate the reconfigurable crawling robots capable of worm-like creep, alternating-step locomotion as well as obstacle detection. After activating all the actuators, the four-actuator robot with two working modes is validated to perform agilely for confined space navigation, showing our actuator has the potential in soft robotics applications.
Long Li 0009, Tianhong Wang 0004, Guopeng Wang, Jianguo Cai, Yingzhong Tian
IEEE Trans. Robotics5