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Mingchang He

dblp:203/5361 · 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
Motion planning and robot control · 75% Robot manipulation · 25%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › trajectory tracking
position tracking control
0.312017
Position control of a robot finger with variable stiffness actuated by shape memory alloy · ICRA 2017
Robotics › Motion planning and robot control
robot control
0.312017
Position control of a robot finger with variable stiffness actuated by shape memory alloy · ICRA 2017
Robotics › Motion planning and robot control › robot control › actuator control
shape memory alloy actuator control
0.312017
Position control of a robot finger with variable stiffness actuated by shape memory alloy · ICRA 2017
Robotics › Robot manipulation › actuator design › compliant actuator
variable stiffness actuation
0.312017
Position control of a robot finger with variable stiffness actuated by shape memory alloy · ICRA 2017

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

SMA modeling · 0.3PID control · 0.3
YearPublicationVenuePosition
2017 Position control of a robot finger with variable stiffness actuated by shape memory alloy
abstract
The purpose of this research is to present a new method to achieve precise position tracking control for robot finger with variable stiffness mechanism. First, the variable stiffness design of the finger which is actuated by SMA-3 fibers is presented. Then, the relationship between the variation of pulling force ΔF of the bending robot finger and input voltage of SMA-3 is established. In addition, the relationship between the pulling force F and the input voltage of SMA-2 wire is established as well. Therefore, a control method based on these models for the position tracking of robot finger with variable stiffness characteristics is proposed. The experimental results show that the proposed method has better performance than traditional PID control when the stiffness changed by heating current, resulting in a reduction of maximum error by 86%.
Guoliang Zhong, Haibin Yin, Mingchang He, Yuegang Tan
ICRA4