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Huanzhe Zhan

dblp:407/9992 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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.

Artificial intelligence
1 paper
Multi-agent systems · 67% Motion planning and robot control · 33%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
formation control
0.912025
Design of a Formation Control System to Assist Human Operators in Flying a Swarm of Robotic Blimps · ICRA 2025
Robotics › Motion planning and robot control › multi-robot control
leader-follower control
0.912025
Design of a Formation Control System to Assist Human Operators in Flying a Swarm of Robotic Blimps · ICRA 2025
Knowledge, reasoning and agents › Multi-agent systems
swarm robotics
0.912025
Design of a Formation Control System to Assist Human Operators in Flying a Swarm of Robotic Blimps · ICRA 2025
Human-robot interaction
human-swarm interaction
0.312025
Design of a Formation Control System to Assist Human Operators in Flying a Swarm of Robotic Blimps · ICRA 2025
Human-robot interaction › teleoperation
operator support
0.312025
Design of a Formation Control System to Assist Human Operators in Flying a Swarm of Robotic Blimps · ICRA 2025

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

monocular camera · 1.7leader-switching · 1.7laser altimeter · 1.7
YearPublicationVenuePosition
2025 Design of a Formation Control System to Assist Human Operators in Flying a Swarm of Robotic Blimps
abstract
Formation control is essential for swarm robotics, enabling coordinated behavior in complex environments. In this paper, we introduce a novel formation control system for an indoor blimp swarm using a specialized leader-follower approach enhanced with a dynamic leader-switching mechanism. This strategy allows any blimp to take on the leader role, distributing maneuvering demands across the swarm and enhancing overall formation stability. Only the leader blimp is manually controlled by a human operator, while follower blimps use onboard monocular cameras and a laser altimeter for relative position and altitude estimation. A leader-switching scheme is proposed to assist the human operator to maintain stability of the swarm, especially when a sharp turn is performed. Experimental results confirm that the leader-switching mechanism effectively maintains stable formations and adapts to dynamic indoor environments while assisting human operator.
Tianfu Wu 0005, Jiaqi Fu, Wugang Meng, Sungjin Cho, Huanzhe Zhan, Fumin Zhang 0001
ICRA5