Demo Data from EDBT 2026 / reviewers in the wild / expert
Michail Vangos
dblp:364/3134
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 2 · 2 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 · 67% Motion planning and robot control · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
grasping |
0.8 | 1 | 2024 | The GEM-C controller for Load Compensation in Object Manipulation · ICRA 2024 |
Robotics › Robot manipulation › grasping › grasping mechanism
suction cup grasping |
0.8 | 1 | 2024 | The GEM-C controller for Load Compensation in Object Manipulation · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
gravity and external force compensation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | The GEM-C controller for Load Compensation in Object ManipulationabstractNowadays, robotic arms are ubiquitously employed for object manipulation across a spectrum of applications, spanning from production lines to warehouses, and encompassing both stationary and mobile robotic systems. Among the most prevalent end-effectors, used for the majority of these applications, are suction cups. The rudimentary act of grasping an object and relocating it, devoid of a cognizant awareness of the forces stemming from the object’s motion and grip, can result in suboptimal and inefficient robot movements. In more dire circumstances, such negligent handling may precipitate detachment of the object from the end-effector, potentially incurring damage to either the object or the arm.In this paper, we build upon the advanced sensing and attaching capabilities of our suction cup MIGHTY, and introduce GEM-C, a novel Gravity, External forces and Motion Compensation controller, that constantly adapts the orientation of the suction cup so as to enhance the quality of attachment. Throughout all examined scenarios and experiments, our approach remarkably improved the robot’s performance by providing the optimal end-effector pose while also reducing the stress on the motors and the overall power consumption. The derived results, clearly demonstrate the MIGHTY and GEM-C schema’s potential for a wide range of demanding robotic manipulation tasks. Emmanouil Papadakis 0001, Markos Sigalas, Michail Vangos, Panos E. Trahanias |
ICRA | 3 |
| 2023 | MIGHTY: Multi-Functional Suction Cup for Object Gripping and Surface AttachmentabstractThe spectrum of applications of robotic systems is constantly being expanded in the research, industrial and even the defense sectors, ranging from manipulation and assembly to critical infrastructure monitoring and post-disaster response. Nevertheless, contemporary robotic capabilities are significantly hindered when traversing through or interacting with complex, unstructured and dynamic environments. To alleviate for that, we introduce in the current work MIGHTY (Multi-functional Intelligent Gripping with High Tolerance), a novel, lightweight, sensor-enhanced vacuum suction cup providing not only enhanced attachment capabilities on a plethora of surfaces of varying roughness, but also robust and accurate contact and force estimation. Its unique design facilitates multiple functionalities, from acting as a gripper for object manipulation to operating as a foot for stable walking and steep surface climbing. The proposed suction cup was extensively assessed under varying experimental setups, in order to validate its capacity to sense the applied force and torque and the torque's axis, as well as its ability to attach on a variety of surfaces. In all cases remarkable results were demonstrated, attesting for its effectiveness and robustness. Emmanouil Papadakis 0001, Markos Sigalas, Michail Vangos, Panos E. Trahanias |
IROS | 3 |