EDBT 2026 Demo / reviewers in the wild / expert
Pinghai Yang
dblp:83/6337
· DBLP profile ↗
4ranked-venue papers
3as 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 · 3 · 3 first-authorArtificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 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 |
Motion planning and robot control · 100% | |
| Computer graphics and multimedia
2 papers |
Geometric modeling and processing · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
trajectory optimization |
0.7 | 1 | 2023 | High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots · ICRA 2023 |
Robotics › Motion planning and robot control › motion planning
motion primitives |
0.2 | 1 | 2023 | High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots · ICRA 2023 |
Geometric modeling and processing › solid modeling
boolean operations |
0.1 | 1 | 2009 | Direct boolean intersection between acquired and designed geometry · Comput. Aided Des. 2009 |
Geometric modeling and processing › solid modeling
heterogeneous object modeling |
0.1 | 1 | 2007 | A B-spline-based approach to heterogeneous objects design and analysis · Comput. Aided Des. 2007 |
Geometric modeling and processing
reverse engineering |
0.0 | 1 | 2009 | Direct boolean intersection between acquired and designed geometry · Comput. Aided Des. 2009 |
Methods — techniques the papers use, named apart from their topics
waypoint optimization · 0.7tracking error minimization · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial RobotsabstractIndustrial robots are increasingly deployed in applications requiring an end effector tool to closely track a specified path, such as in spraying and welding. Performance and productivity present possibly conflicting objectives: tracking accuracy, path speed, and motion uniformity. Industrial robots are programmed through motion primitives consisting of waypoints connected by pre-defined motion segments, with specified parameters such as path speed and blending zone. The actual executed robot motion depends on the robot joint servo controller and joint motion constraints (e.g., velocity, acceleration limits) which are largely unknown to the users. Programming a robot to achieve the desired performance today is time-consuming and mostly manual, requiring tuning a large number of coupled parameters in the motion primitives. The performance also depends on the choice of additional param-eters: possible redundant degrees of freedom, location of the target curve, and the robot configuration. This paper presents a systematic approach to optimize robot motion parameters. The approach first selects the static parameters, then chooses the motion primitives, and finally iteratively updates the waypoints to minimize the tracking error. The ultimate performance objective is to maximize the path speed subject to the tracking accuracy and speed uniformity constraints over the entire path. We have demonstrated the effectiveness of this approach both in simulation and on physical systems for ABB and FANUC robots applied to two challenging example curves. Comparing with the baseline using the current industry practice, the optimized performance shows over 100% performance improvement. Honglu He, Chen-Lung Lu, Yunshi Wen, Glenn Saunders, Pinghai Yang, Jeffrey Schoonover, John D. Wason, A. Agung Julius, John T. Wen |
ICRA | 5 |
| 2009 | NURBS based molecular force calculationabstractThe progress of nanotechnology has made it possible to make miniature electromechanical devices of sub-micrometer scale. This means that we will be in need of design packages that can model the physical properties of objects and their interactions involved down in nanometer scale. Toward this goal, our aim in this paper is to develop a computing procedure for determining molecular interaction forces, i.e. van der Waals force, between objects of arbitrary geometry. Pinghai Yang, Xiaoping Qian |
Symposium on Solid and Physical Modeling | 1 |
| 2009 | Direct boolean intersection between acquired and designed geometry
Pinghai Yang, Xiaoping Qian |
Comput. Aided Des. | 1 |
| 2007 | A B-spline-based approach to heterogeneous objects design and analysis
Pinghai Yang, Xiaoping Qian |
Comput. Aided Des. | 1 |