Zhongqin Lin

dblp:82/4221 · DBLP profile ↗
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8ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 4Applied, interdisciplinary, general and emerging computing · 3 · 1 since 2021Artificial intelligence and machine learning · 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
3 papers
Robot manipulation · 58% Motion planning and robot control · 42%
Computer graphics and multimedia
4 papers
Geometric modeling and processing · 100%

Topics — the 13 heaviest of 15, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.712023
Intrinsic Contact Sensing and Object Perception of an Adaptive Fin-Ray Gripper Integrating Compact Deflection Sensors · IEEE Trans. Robotics 2023
Robotics › Robot manipulation › contact modeling
compliance modeling
0.212015
The Principal Axes Decomposition of Spatial Stiffness Matrices · IEEE Trans. Robotics 2015
Geometric modeling and processing › surface parameterization
conformal mapping
0.212015
An analytical representation of conformal mapping for genus-zero implicit surfaces and its application to surface shape similarity assessment · Comput. Aided Des. 2015
Geometric modeling and processing
implicit surface
0.212015
An analytical representation of conformal mapping for genus-zero implicit surfaces and its application to surface shape similarity assessment · Comput. Aided Des. 2015
Robotics › Motion planning and robot control › robot control › contact control › contact task control › robot force control
contact force control
0.212023
Intrinsic Contact Sensing and Object Perception of an Adaptive Fin-Ray Gripper Integrating Compact Deflection Sensors · IEEE Trans. Robotics 2023
Robotics › Motion planning and robot control › robot control
force control
0.212023
Intrinsic Contact Sensing and Object Perception of an Adaptive Fin-Ray Gripper Integrating Compact Deflection Sensors · IEEE Trans. Robotics 2023
Robotics › Motion planning and robot control › robot calibration
kinematic parameter identification
0.212014
Determination of the Identifiable Parameters in Robot Calibration Based on the POE Formula · IEEE Trans. Robotics 2014
Robotics › Robot manipulation
parameter identification
0.212014
Determination of the Identifiable Parameters in Robot Calibration Based on the POE Formula · IEEE Trans. Robotics 2014
Robotics › Motion planning and robot control
robot calibration
0.212014
Determination of the Identifiable Parameters in Robot Calibration Based on the POE Formula · IEEE Trans. Robotics 2014
Geometric modeling and processing
shape similarity
0.112015
An analytical representation of conformal mapping for genus-zero implicit surfaces and its application to surface shape similarity assessment · Comput. Aided Des. 2015
Geometric modeling and processing › computer-aided design
assembly modeling
0.112006
A framework for an automotive body assembly process design system · Comput. Aided Des. 2006
Geometric modeling and processing › shape representation
multiresolution modeling
0.112006
New multiresolution modeling techniques in CAD · Comput. Aided Des. 2006
Mathematical optimization
lie algebra
0.112014
Determination of the Identifiable Parameters in Robot Calibration Based on the POE Formula · IEEE Trans. Robotics 2014

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

strain gauge sensing · 0.7discretization-based contact identification · 0.7eigenscrew decomposition · 0.4congruence transformation · 0.4product of exponentials · 0.4lie bracket operation · 0.4multiresolution modeling · 0.1
YearPublicationVenuePosition
2023 Intrinsic Contact Sensing and Object Perception of an Adaptive Fin-Ray Gripper Integrating Compact Deflection Sensors
abstract
Owing to their tremendous adaptability to free-form objects, soft grippers with fin-ray structure have a wide range of applications. However, kinetostatics analysis and contact sensing for such soft grippers are quite a challenge due to large structural deformations. In this article, a model-based method for intrinsic contact sensing, object perception, and interactive manipulation, is proposed for this kind of adaptive grippers. The contributions arise from the integration of compact strain-gauge sensors, that are particularly fabricated for slender flexible beams undergoing large deformations. Using a discretization-based approach, the contact condition can be identified efficiently in light of the local deformations gathered via the deflection sensors. Prototypes are developed using simple materials and manufacturing methods, on which various validation experiments are conducted. Owing to the contact sensing capability, the developed adaptive fin-ray gripper is able to perceive the boundary geometry and structural compliance of unstructured objects. Moreover, sensor-based feed-back control can be accomplished to perform interactive manipulation, in which the contact force between the finger and object can be regulated precisely (around$5\,\%$RMS error) in real-time.
Genliang Chen, Shujie Tang, Shaoqiu Xu, Tong Guan, Yuanhao Xun, Hao Wang 0015, Zhongqin Lin
IEEE Trans. Robotics8
2015 An analytical representation of conformal mapping for genus-zero implicit surfaces and its application to surface shape similarity assessment
Shunzhou Huang, Hao Wang 0015, Zhongqin Lin
Comput. Aided Des.4
2015 The Principal Axes Decomposition of Spatial Stiffness Matrices
abstract
This paper presents an alternative decomposition of spatial stiffness matrices based on the concept of compliant axes. According to the congruence transformation of spatial stiffness, the coordinate-invariant aspects, which are referred to as the central principal components of the 6 × 6 symmetric positive semidefinite matrices, can be derived uniquely. The proposed decomposition is free from the eigenvalue problems of the 6 × 6 stiffness matrices so that both Plücker's ray and axis coordinates can be utilized to characterize the elastic system's force-deflection behavior. Hence, an arbitrary spatial stiffness matrix can be uniquely decomposed into two sets of orthogonal spring wrenches with finite and infinite pitches, respectively. The decomposed wrenches with finite pitches correspond to the stiffness' wrench-compliant axes, along which linear deformations produce only wrenches parallel to them. As a result, three torsional and three screw springs are required, at the most, to realize a given spatial stiffness. Using the principal axes decomposition, some physical appreciations, such as the center of stiffness, the wrench-compliant axes, and the correspondence of compliance and stiffness, can be derived to reveal the inherent structure of spatial stiffness in an intuitive manner. In order to verify the effectiveness of the proposed method, two numerical examples are intensively studied with comparison to the eigenscrew decomposition. In addition, a potential application of the proposed stiffness decomposition method is also provided for the structural compliance modeling of flexible links in robot manipulators.
Genliang Chen, Hao Wang 0015, Zhongqin Lin, Xinmin Lai
IEEE Trans. Robotics3
2014 Determination of the Identifiable Parameters in Robot Calibration Based on the POE Formula
abstract
This paper presents an analytical approach to determine and eliminate the redundant model parameters in serial-robot kinematic calibration based on the product of exponentials formula. According to the transformation principle of the Lie algebra se(3) between different frames, the connection between the joints' twist errors and the links' geometric ones is established. Identifiability analysis shows that the redundant errors are simply equivalent to the commutative elements of the robot's joint twists. Using the Lie bracket operation of se(3), a linear partitioning operator can be constructed to analytically separate the identifiable parameters from the system error vector. Then, error models satisfying the completeness, minimality, and model continuity requirements can be obtained for any serial robot with all combinations and configurations of revolute and prismatic joints. The conventional conclusion that the maximum number of independent parameters is 4r + 2p + 6 in a generic serial robot with r revolute and p prismatic joints is verified. Using the quotient manifold of the Lie group SE(3), the links' geometric errors and the joints' offset errors can be integrated as a whole, such that all these errors can be identified simultaneously. To verify the effectiveness of the proposed method, calibration simulations and experiments are conducted on an industrial six-degree-of-freedom (DoF) serial robot.
Genliang Chen, Hao Wang 0015, Zhongqin Lin
IEEE Trans. Robotics3
2006 A framework for an automotive body assembly process design system
Guanlong Chen, Jiangqi Zhou, Wayne Cai, Xinmin Lai, Zhongqin Lin, Roland Menassa
Comput. Aided Des.5
2006 New multiresolution modeling techniques in CAD
Jinxing Yin, Guanlong Chen, Zhongqin Lin
Comput. Aided Des.3
2004 New modeling techniques in multi-space CAD
abstract
This paper investigates new wavelet-based multiresolution modeling techniques in CAD. MRA techniques are extended to detail feature transplanting and detail feature copying from previous MRA editing including sweep editing, fractional editing, synthesis editing and detail blending. Two new editing methods called detail feature transplanting and detail feature copying are added to previous sweep editing, fractional editing, synthesis editing and detail blending. Detail feature transplanting editing is a way to transplant detail features of a curve/surface to another curve/surface. Detail feature copying editing is a way to copy or move detail features on the same curve/surface.
Jinxiang Ying, Guanlong Chen, Zhongqin Lin
ICIG3
2004 Neuro-Fuzzy Hybrid Intelligent Industrial Control and Monitoring Study on Weld Quality Control of Resistance Spot Welding Using a Neuro-Fuzzy Algorithm
Guanlong Chen, Zhongqin Lin
KES3