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Zhanxiao Geng

dblp:246/7874 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.412019
Eagle Shoal: A new designed modular tactile sensing dexterous hand for domestic service robots · ICRA 2019
Robotics › Robot manipulation › grasping
multifingered hand
0.412019
Eagle Shoal: A new designed modular tactile sensing dexterous hand for domestic service robots · ICRA 2019
Robotics › Robot manipulation
robot sensing
0.412019
Eagle Shoal: A new designed modular tactile sensing dexterous hand for domestic service robots · ICRA 2019
Robotics › Robot manipulation
tactile sensing
0.412019
Eagle Shoal: A new designed modular tactile sensing dexterous hand for domestic service robots · ICRA 2019

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

tactile sensor · 0.4modular design · 0.4
YearPublicationVenuePosition
2019 Eagle Shoal: A new designed modular tactile sensing dexterous hand for domestic service robots
abstract
This paper introduces a new designed modular tactile sensing dexterous hand for domestic service robots. This fully-actuated hand consists of 1 palm and 3 fingers, with embedded tactile sensors, motors and control boards. The palm and each finger have 2 degrees of freedom (DOFs). The modular design makes it easy to attach and detach the hand, even by inexperienced users. The tactile sensor unit with new structure can help to decrease sensor number and keep a good sensing ability. A series of experiments to test the sensor unit and evaluated the hand performance with an object set was performed in this paper. The results show that the sensor unit can provide precise sensing result and perceive continuous vibration data, and the hand has excellent grasp ability. In addition to its good performance, the hand features a cost of $500 USD with a scale of one hundred sets. This hand is affordable for researchers and for domestic service robots in the consumer market. In future research, this hand will be used to promote the robotic manipulation research based on visual and tactile data.
Zhanxiao Geng, Bo Kang, Xiaochuan Luo
ICRA2