Demo Data from EDBT 2026 / reviewers in the wild / expert
Zhonghan Tang
dblp:400/6597
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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.
| Human-computer interaction and pervasive computing
1 paper |
Learning and educational technologies · 77% User interface design and tools · 23% | |
| Artificial intelligence
1 paper |
Multi-agent systems · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems |
0.9 | 1 | 2025 | Cocube: a Tabletop Modular Multi-Robot Platform for Education and Research · ICRA 2025 |
User interface design and tools › visual programming
block-based programming |
0.3 | 1 | 2025 | Cocube: a Tabletop Modular Multi-Robot Platform for Education and Research · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
visual programming · 1.7modular robot design · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Cocube: a Tabletop Modular Multi-Robot Platform for Education and ResearchabstractThis paper presents CoCube a tabletop modular robotics platform designed for robotics education and multirobot algorithm research. CoCube is characterized by its low cost low floors high ceilings and wide walls offering flexibility and broad applicability across various use cases. The platform comprises four key components: CoCube robots which integrate wireless communication movement and interaction; CoModules which provide versatile external functionality; CoMaps which enable high-precision localization via microdot patterns on regular printed paper; and CoTags for interaction. CoCube operates on MicroBlocks a blocks programming language for physical computing inspired by MIT Scratch a widely-used coding language with a simple visual interface that makes programming accessible to young learners. It offers users both flexibility and ease of use with advanced API support for more complex applications. This paper details the design of the CoCube platform and demonstrates its potential in both educational and research contexts. Songyi Zhu, Zhonghan Tang, Jialing Han, Zemin Lin, Zhongrui You, John Maloney, Bernat Romagosa, Bin Zhao 0001, Zhigang Wang 0002, Zhinan Zhang, Xuelong Li 0001 |
ICRA | 3 |