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Zhonghan Tang

dblp:400/6597 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems
0.912025
Cocube: a Tabletop Modular Multi-Robot Platform for Education and Research · ICRA 2025
User interface design and tools › visual programming
block-based programming
0.312025
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
YearPublicationVenuePosition
2025 Cocube: a Tabletop Modular Multi-Robot Platform for Education and Research
abstract
This 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
ICRA3