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Zhongqing Sun

dblp:244/9396 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—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
Robot manipulation · 100%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.812024
Ultrafast capturing in-flight objects with reprogrammable working speed ranges · ICRA 2024
Robotics › Robot manipulation › nonprehensile manipulation
in-flight object catching
0.812024
Ultrafast capturing in-flight objects with reprogrammable working speed ranges · ICRA 2024
Computational fabrication › mechanism design
compliant mechanism design
0.212024
Ultrafast capturing in-flight objects with reprogrammable working speed ranges · ICRA 2024
Computational fabrication
mechanism design
0.212024
Ultrafast capturing in-flight objects with reprogrammable working speed ranges · ICRA 2024

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

energy landscape modeling · 1.5bistable structure design · 1.5
YearPublicationVenuePosition
2024 Ultrafast capturing in-flight objects with reprogrammable working speed ranges
abstract
In-flight high-speed object capturing is crucial in nature to improve survival and adaptation to the environment, such as the predation of frogs, leopards, and eagles. Despite its ubiquitousness in nature, capturing fast-moving objects is extremely challenging in engineering implementations. In this paper, we report an ultrafast gripper based on tunable bistable structures. Different from current designs which are only suitable for objects with certain speed ranges once the grippers are fabricated, the working range of object speed of the proposed gripper could be reprogrammed by controlling the sensitivity of the structures. We present the design and fabrication of the proposed gripper in detail. A theoretical model is introduced to construct the energy landscape of the structures and the force response of the gripper when programmed to different states. The results show that in the original state, the gripper is capable of capturing a flying table tennis ball with a high speed of 15 m/s in only 6 ms. When the proposed gripper is controlled to the ultra-sensitive state, a flying ball with only 1 m/s could also be captured. This work broadens the frontiers of in-flight capturing design, and we envision broader promising applications.
Yongkang Jiang, Zhongqing Sun, Yaimiin Zhou, Yingtian Li
ICRA3