Demo Data from EDBT 2026 / reviewers in the wild / expert
Erik Smith
dblp:09/3518
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, 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 · 54% Robot manipulation · 46% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control
adaptive control |
0.1 | 1 | 2008 | Cooperative manipulation on the water using a swarm of autonomous tugboats · ICRA 2008 |
Robotics › Robot manipulation
cooperative manipulation |
0.1 | 1 | 2008 | Cooperative manipulation on the water using a swarm of autonomous tugboats · ICRA 2008 |
Robotics › Robot manipulation › cooperative manipulation
multi-robot transportation |
0.1 | 1 | 2008 | Cooperative manipulation on the water using a swarm of autonomous tugboats · ICRA 2008 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2008 | Cooperative manipulation on the water using a swarm of autonomous tugboats · ICRA 2008 |
Robotics › Motion planning and robot control › robot control
trajectory tracking |
0.0 | 1 | 2008 | Cooperative manipulation on the water using a swarm of autonomous tugboats · ICRA 2008 |
Methods — techniques the papers use, named apart from their topics
tracking controller · 0.1force allocation · 0.1adaptive control law · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Performance Comparison of Running Clinical Rules in Drools and Plain Java Implementation
Erik Smith, Thomas Van Gilder |
AMIA | 2 |
| 2008 | Cooperative manipulation on the water using a swarm of autonomous tugboatsabstractIn this paper we present a strategy that allows a swarm of autonomous tugboats to cooperatively move a large object on the water. The two main challenges are: (1) the actuators are unidirectional and experience saturation; (2) the hydrodynamics of the system are difficult to characterize. The primary theoretical contribution of the paper addresses the first challenge. We present a tracking controller and force allocation strategy that, despite actuator limitations, result in asymptotically convergent tracking for a certain class of reference trajectories. The primary practical contribution is the introduction of a set of adaptive control laws that address the second challenge by compensating for unknown, and difficult to measure, hydrodynamic parameters. Experimental verification of the controllers is presented using a 1:36 scale model of a U.S. Navy ship, inside the Naval Academy's unique 380 ft testing tank. Joel M. Esposito, Matthew G. Feemster, Erik Smith |
ICRA | 3 |