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Chen-Hua Chiu

dblp:203/5555 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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.

Artificial intelligence
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › mechanical design
compliant mechanism design
0.312017
Optimal design of a soft robotic gripper with high mechanical advantage for grasping irregular objects · ICRA 2017
Robotics › Robot manipulation
grasping
0.312017
Optimal design of a soft robotic gripper with high mechanical advantage for grasping irregular objects · ICRA 2017
Robotics › Robot manipulation › grasping
soft gripper
0.312017
Optimal design of a soft robotic gripper with high mechanical advantage for grasping irregular objects · ICRA 2017

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

topology optimization · 0.3size optimization · 0.3
YearPublicationVenuePosition
2017 Optimal design of a soft robotic gripper with high mechanical advantage for grasping irregular objects
abstract
This study presents a soft robotic gripper for grasping irregular objects. The optimal design is based on the proposed topology optimization and size optimization methods with the objective to maximize the mechanical advantage (MA, which is defined as the ratio of output force to the input force) of the analyzed compliant mechanism. The optimal design is prototyped using silicon rubber material. Experimental tests including MA test, geometric advantage (GA, which is defined as the ratio of output displacement to the input displacement) test, adaptability test, and grasping test are carried out to investigate the design. A performance index has also been proposed to evaluate the grasping performance of the grippers. The results show the developed gripper is with the highest performance index, which represents the developed gripper is with better adaptability, faster response, higher payload and stability in overall.
Chih-Hsing Liu, Chen-Hua Chiu
ICRA2