Demo Data from SIGIR 2026 / reviewers in the wild / expert
David Jameux
dblp:135/5516
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Hardware accelerators and domain-specific architectures · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › motion control
precision control |
0.2 | 1 | 2013 | Precision Control of Modular Robot Manipulators: The VDC Approach With Embedded FPGA · IEEE Trans. Robotics 2013 |
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2013 | Precision Control of Modular Robot Manipulators: The VDC Approach With Embedded FPGA · IEEE Trans. Robotics 2013 |
Robotics › Motion planning and robot control › manipulator control
virtual decomposition control |
0.2 | 1 | 2013 | Precision Control of Modular Robot Manipulators: The VDC Approach With Embedded FPGA · IEEE Trans. Robotics 2013 |
Methods — techniques the papers use, named apart from their topics
virtual decomposition control · 0.3spacewire · 0.3hierarchical master-slave control · 0.3FPGA · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Precision Control of Modular Robot Manipulators: The VDC Approach With Embedded FPGAabstractA systematic solution to precision control of modular robot manipulators without using joint torque sensing is presented in this paper for the first time. Using the virtual decomposition control (VDC) approach with embedded field programmable gate array (FPGA) logic devices, the proposed solution solves a long-standing problem of lacking control precision fundamentally associated with the modular robot manipulators. As a result, this solution allows modular robot manipulators to possess not only their traditional advantages (such as reconfigurability, flexibility, versatility, and ease of use) but precision control capability as well. A hierarchical master-slave control structure is used, which is supported by a high-speed communication system modified from SpaceWire (IEEE 1355), transferring a limited amount of data between the master and slave nodes at a rate of 1000 Hz. In each module, the FPGA logic implementation uses multiple sampling periods of 163.8 μs, 1.28 μs, and 20 ns. A gravity counterbalance spring provides a design option for the purpose of energy saving. Experimental results demonstrate unprecedented control precision, which is attributed to the use of both the VDC approach and embedded FPGA implementation. The ratio of the maximum position tracking error to the maximum velocity reaches 0.00012 s-more than an order of magnitude better than available technologies in control of robots with harmonic drives. The solution presented in this paper is also applicable to integrated robot manipulators using embedded FPGA controllers. Tom Lamarche, Erick Dupuis, David Jameux, Patrick Barnard |
IEEE Trans. Robotics | 4 |