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Yun Gui

dblp:91/11343 · DBLP profile ↗
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2ranked-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 2021Applied, interdisciplinary, general and emerging computing · 1

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 architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design › semiconductor devices › image sensor
CMOS image sensor
0.112012
CMOS image sensor with optimal video sampling scheme · Sci. China Inf. Sci. 2012
Integrated circuit design › semiconductor devices › image sensor
image sensor design
0.112012
CMOS image sensor with optimal video sampling scheme · Sci. China Inf. Sci. 2012
Image and video processing › image sequence processing
video sampling
0.012012
CMOS image sensor with optimal video sampling scheme · Sci. China Inf. Sci. 2012
YearPublicationVenuePosition
2025 Planning and Control for Active Morphing Tensegrity Aerial Vehicles in Confined Spaces
abstract
Morphing quadrotors are capable of adapting to constrained environments through geometric reconfiguration. However, existing systems are limited by mechanical complexity and rigid links, which affect both safety and performance in such environments. In this paper, we propose a strut-actuated tensegrity aerial vehicle that integrates shape adaptation with collision resilience. By incorporating deformable struts and a cable network, our vehicle enables real-time morphological adjustments during flight while maintaining stability. We present a hierarchical planning framework that ensures the entire vehicle remains confined within an icosahedral space, thereby guaranteeing full-body safety. An on-manifold Model Predictive Controller (MPC) is employed to track these optimized trajectories and compensate for inertia shifts during shape deformation. Simulation results validate the effectiveness of the proposed framework, demonstrating its capability to navigate in restricted scenarios.
Siyuan Hao, Zichen Tao, Yun Gui, Songyuan Liu, Jiaxu Shi, Qingkai Yang
IROS3
2012 CMOS image sensor with optimal video sampling scheme
Ning Guan, Xu Zhang 0010, Zan Dong, Beiju Huang, Yun Gui, Jianqiang Han, Zanyun Zhang, Hongda Chen 0002
Sci. China Inf. Sci.6