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Xie Chen 0003

dblp:86/11429-3 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0001-5997-4297ORCID · verified

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 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 · 67% Motion planning and robot control · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
force control
0.512021
Micro Robotic Manipulation System for the Force Stimulation of Muscle Fiber-like Cell Structure · ICRA 2021
Robotics › Robot manipulation › micromanipulation
microrobotic manipulation
0.512021
Micro Robotic Manipulation System for the Force Stimulation of Muscle Fiber-like Cell Structure · ICRA 2021
Robotics › Robot manipulation › force sensing
vision-based force sensing
0.512021
Micro Robotic Manipulation System for the Force Stimulation of Muscle Fiber-like Cell Structure · ICRA 2021

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

vision-based force measurement · 1.0feedback control · 1.0
YearPublicationVenuePosition
2021 Micro Robotic Manipulation System for the Force Stimulation of Muscle Fiber-like Cell Structure
abstract
Many previous works have facilitated muscle cell (C2C12) alignment to form fiber-like cell structures. However, there still remains a challenge how to induce C2C12 myoblasts in the cell structures to differentiate into matured myocytes to form a functional muscle tissue, while external mechanical stimulation has been proved to have good effects on proliferation and differentiation of myoblasts. In this paper, we proposed a vision-based micro robotic manipulation system to achieve automatic mechanical stimulation for one single muscle fiber-like cell structures (MFCS). A tube, which is attached to a three degree-of-freedom (DOF) manipulator, and a probe are employed to apply the uniaxial mechanical stimulation to train the MFCS. To measure the force applied on MFCS, a vision-based measuring and correction method is utilized, which decrease the error by 74%. Moreover, based on the viscoelastic property of the MFCS, a feedback control algorithm has been applied to compensate for the force loss to realize the force stimulation. And the final value of force remains 699 ± 1μN after 110s experiment.
Xie Chen 0003, Shingo Shimoda, Tao Sun 0001, Huaping Wang, Qiang Huang 0002, Toshio Fukuda
ICRA1