EDBT 2026 Demo / reviewers in the wild / expert

Xiaolun Shi

dblp:89/6774 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 3 · 1 first-author

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
2 papers
Robot manipulation · 72% Motion planning and robot control · 28%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › cooperative manipulation
multi-robot manipulation		 0.021996
Modeling and cooperation of two-arm robotic system manipulating a deformable object · ICRA 1996
Coordination of Two Robots manipulating a Flat Object with Sliding Constraints · ICRA 1995
Robotics › Robot manipulation
deformable object manipulation		 0.011996
Modeling and cooperation of two-arm robotic system manipulating a deformable object · ICRA 1996
Robotics › Motion planning and robot control › robot control
dynamic control		 0.011995
Coordination of Two Robots manipulating a Flat Object with Sliding Constraints · ICRA 1995
Robotics › Robot manipulation › nonprehensile manipulation
sliding object manipulation		 0.011995
Coordination of Two Robots manipulating a Flat Object with Sliding Constraints · ICRA 1995
Robotics › Motion planning and robot control › robot control › compliant motion control
hybrid position/force control		 0.011996
Modeling and cooperation of two-arm robotic system manipulating a deformable object · ICRA 1996
Robotics › Motion planning and robot control › robot control
force control		 0.011995
Coordination of Two Robots manipulating a Flat Object with Sliding Constraints · ICRA 1995

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

null-space control · 0.0deformable body decomposition · 0.0dynamic control · 0.0contact force sensing · 0.0
YearPublicationVenuePosition
1996 Modeling and cooperation of two-arm robotic system manipulating a deformable object
abstract
A new approach for modeling and cooperating two manipulators handling a deformable object is presented. Based on the decomposition of a deformable body into a reference component and a deformation component, a general deformable model is developed and the complex control task is divided into two subtask, i.e., the control of the reference motion and the control of the deformations. The position/force controllers and a null-space control law are proposed and demonstrated in the simulations.
Dong Sun 0001, Xiaolun Shi, Yun-Hui Liu 0001
 ICRA2
1995 Coordination of Two Robots manipulating a Flat Object with Sliding Constraints
abstract
In this paper, a new dynamic control algorithm is proposed for control of a two-arm robotic system sliding a flat object on a smooth supporting surface. Two manipulators press down on the object and manipulate it by applying tangential forces and rotational moments at the contacts. Assuming the contacts are axisymmetric, the article discusses two cases: non-sliding constraints and sliding constraints between the manipulators and the object. Based on this analysis, the kinematics and dynamics of the complete system is studied and a control law is proposed. In the case of sliding constraints, sensors are required to provide information of the contact position and force of the manipulators. The effectiveness of the control algorithm is verified by simulations.
Dong Sun 0001, Xiaolun Shi
 ICRA2
1994 A Complete and General Solution to the Forward Kinematics Problem of Platform-Type Robotic Manipulators
abstract
In this paper a general method is presented, based on the data of three point positions, velocities and accelerations of the end effector, for solving the forward kinematics problem of any platform-type manipulator, including the 6 DOF Stewart Platform. Numerical examples are included to demonstrate the application of the method. It is shown that the equations for the forward position kinematics are highly-nonlinear, however, closed-form solutions to the forward rate kinematics and the forward acceleration kinematics can be obtained by solving a system of linear equations. The advantages of using additional passive joint encoders is also discussed, to simplify the solution of the position kinematics problem, and obtain a one-to-one relation between the actuated joint variables and the end effector configurations.>
Xiaolun Shi, Robert G. Fenton
 ICRA1