Demo Data from EDBT 2026 / reviewers in the wild / expert
J.-A. Castro-Castro
dblp:181/4036
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 · 61% Robot manipulation · 30% Robot navigation and mapping · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › multi-robot control
decentralized cooperative control |
0.2 | 1 | 2016 | Cooperative redundant omnidirectional mobile manipulators: Model-free decentralized integral sliding modes and passive velocity fields · ICRA 2016 |
Robotics › Robot manipulation
mobile manipulation |
0.2 | 1 | 2016 | Cooperative redundant omnidirectional mobile manipulators: Model-free decentralized integral sliding modes and passive velocity fields · ICRA 2016 |
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2016 | Cooperative redundant omnidirectional mobile manipulators: Model-free decentralized integral sliding modes and passive velocity fields · ICRA 2016 |
Robotics › Robot navigation and mapping
obstacle avoidance |
0.1 | 1 | 2016 | Cooperative redundant omnidirectional mobile manipulators: Model-free decentralized integral sliding modes and passive velocity fields · ICRA 2016 |
Methods — techniques the papers use, named apart from their topics
velocity field navigation · 0.2sliding mode control · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Cooperative redundant omnidirectional mobile manipulators: Model-free decentralized integral sliding modes and passive velocity fieldsabstractAn omnidirectional mobile manipulator (OMM) provides extended capabilities to a robotic system since it enlarges its workspace at the expense of an omnidirectional mobile base, which is nowadays a reality. When various OMM transport an object, the resultant constrained OMM dynamics is quite complex that demands effective control schemes without neglecting dominant nonlinear effects nor interaction forces. In this paper, it is proposed a decentralized cooperative control for a set of k OMMs (k-OMM) subject to homogeneous holonomic constraints imposed by the object being manipulated. A chatterless integral sliding mode force-position control guarantees exponential tracking whose implementation does not require any knowledge of dynamics. This controller is decentralized in a sense that neither dynamics nor interaction forces of the i-OMM are required for the j-controller, and it is cooperative by correcting collectively the velocity deviation due to the pushing of the other j-OMM. Each omnidirectional base provides object mobility along passive smooth velocity fields to avoid obstacles on the floor, which is synthesized as the secondary task when resolving redundancy, and the force control stabilizes internal forces to ensure object grasp, which are declared together with end-effector position, as the primary task. Simulations are discussed for two 8-DoF Kuka youBot OMM system navigating in a cluttered environment. A.-N. Ponce-Hinestroza, J.-A. Castro-Castro, H.-I. Guerrero-Reyes, Vicente Parra-Vega, Ernesto Olguín-Díaz |
ICRA | 2 |