Demo Data from EDBT 2026 / reviewers in the wild / expert
Jianguo Cai
dblp:89/5704
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational fabrication › origami design
crease pattern design |
1.0 | 1 | 2026 | Generative design of crease patterns for wrapping fold origami structures · Comput. Aided Des. 2026 |
Computational fabrication
origami design |
1.0 | 1 | 2026 | Generative design of crease patterns for wrapping fold origami structures · Comput. Aided Des. 2026 |
Robotics › Legged, aerial and field robots › limbless locomotion
crawling robot |
0.6 | 1 | 2022 | Origami-Inspired Soft Actuators for Stimulus Perception and Crawling Robot Applications · IEEE Trans. Robotics 2022 |
Robotics › Robot manipulation
soft robotics |
0.6 | 1 | 2022 | Origami-Inspired Soft Actuators for Stimulus Perception and Crawling Robot Applications · IEEE Trans. Robotics 2022 |
Robotics › Robot manipulation › actuator design
pneumatic actuation |
0.2 | 1 | 2022 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 ApplicationsabstractOrigami 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. Robotics | 5 |