EDBT 2026 Demo / reviewers in the wild / expert
Boris Deroo
dblp:342/9021
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-9089-9341ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 |
Robot manipulation · 50% Motion planning and robot control · 50% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › underactuated robotics
crane control |
1.0 | 1 | 2026 | Mechatronic Design and Control of a Robotized Crane Exploiting Natural Dynamics for Pick-and-Place Applications · IEEE Trans. Robotics 2026 |
Robotics › Robot manipulation
grasping |
1.0 | 1 | 2026 | Mechatronic Design and Control of a Robotized Crane Exploiting Natural Dynamics for Pick-and-Place Applications · IEEE Trans. Robotics 2026 |
Robotics › Robot manipulation › grasping
pick-and-place |
1.0 | 1 | 2026 | Mechatronic Design and Control of a Robotized Crane Exploiting Natural Dynamics for Pick-and-Place Applications · IEEE Trans. Robotics 2026 |
Robotics › Motion planning and robot control
robot control |
1.0 | 1 | 2026 | Mechatronic Design and Control of a Robotized Crane Exploiting Natural Dynamics for Pick-and-Place Applications · IEEE Trans. Robotics 2026 |
Methods — techniques the papers use, named apart from their topics
variable-length pendulum model · 1.0passive alignment · 1.0dynamic motion control · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Mechatronic Design and Control of a Robotized Crane Exploiting Natural Dynamics for Pick-and-Place ApplicationsabstractThis paper describes a solution for pick-and-place tasks that do not require high precision throughout the execution, using a robotised gantry crane. Two common issues that occur when using a crane are addressed, and solutions are provided. First, the lack of rotational controllability is overcome by designing a gripper that passively aligns itself with the handle of the payload using a simple, robust control strategy. Second, the active workspace is expanded by using controlled, dynamic motions, based on a variable-length pendulum model. Thus, the workspace is no longer limited to positions directly accessible from above, as is the case with quasi-static control methods. The robustness and effectiveness of the proposed solution was validated by a grasping, and a shelf insertion experiment. The robot was able to grasp the payload during all 48 trials. Failures were detected and recovery strategies were implemented. The handle could also be reliably ungrasped. During the shelf insertion, imperfect trajectory tracking caused a significant error during the unobservable part of the trajectory. Nevertheless, the actual placement position was always close to the desired position. Boris Deroo, Erwin Aertbeliën, Wilm Decré, Herman Bruyninckx |
IEEE Trans. Robotics | 1 |