Demo Data from EDBT 2026 / reviewers in the wild / expert
Luis Viornery
dblp:353/6018
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
0009-0001-2963-7879ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 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 · 77% Legged, aerial and field robots · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
jumping robot |
0.2 | 1 | 2023 | Achieving Extensive Trajectory Variation in Impulsive Robotic Systems · ICRA 2023 |
Methods — techniques the papers use, named apart from their topics
force control · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Achieving Extensive Trajectory Variation in Impulsive Robotic SystemsabstractRobots that use impulsive mechanisms to achieve high-speed and high-powered motion are becoming more common and better understood, but control of these systems remains relatively rudimentary. Among robots that use spring actuation to generate motion, robot actuation and mechanisms are usually not controlled intentionally in order to achieve variation in the system's behavior, or they are controlled only roughly via adjustments made to the amount of energy stored in the mechanism. We describe the development, construction, and test of an impulsive catapult mechanism whose design is inspired by the grasshopper leg and for which extensive variation in the projectile trajectory is achieved by force control of the actuator that restrains the spring. As a step toward future controlled jumping robots, we give a detailed model of this system, validate this model experimentally, and explain how the actuator dynamics are critical to our ability to vary the system's trajectory using this approach. This work represents a novel approach to the control of spring actuated robots and illustrates how they can be controlled even under highly limiting actuator constraints. Luis Viornery, Chloe Goode, Gregory Sutton, Sarah Bergbreiter |
ICRA | 1 |