Demo Data from EDBT 2026 / reviewers in the wild / expert
R. D. Michelli
dblp:88/3915
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 77% Distributed systems · 23% | |
| Artificial intelligence
1 paper |
Multi-agent systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
distributed robotic systems |
0.0 | 1 | 1999 | Using Control Networks for Distributed Robotic Systems · ICRA 1999 |
Embedded and real-time systems
timing constraints |
0.0 | 1 | 1999 | Using Control Networks for Distributed Robotic Systems · ICRA 1999 |
Distributed systems
fault tolerance |
0.0 | 1 | 1999 | Using Control Networks for Distributed Robotic Systems · ICRA 1999 |
Methods — techniques the papers use, named apart from their topics
wireless data links · 0.0fieldbus · 0.0control networks · 0.0control network · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Using Control Networks for Distributed Robotic SystemsabstractThrough our work we have identified hardware and software components that enable us to mimic biological entities and colonies within the context of multi-agent systems. Specifically, we use control networks with fieldbus or wireless data links to connect distributed hardware and software modules. Although there are many implementations of multi-agent systems, most literature seems to focus on the algorithmic aspects. We describe how (LonWorks) control networks, coupled with minimal custom electromechanical devices, can be used to construct multi-agent systems. Important issues include real-time system constraints, fault-tolerance, synchronization, and, of course, solving the robotic tasks at hand. We describe three proof-of-concept projects currently underway: a biped walking robot; a hexapod colony; and a complex autonomous vehicle. It is believed that attributes observed in these projects can be used to build application-specific systems in other areas. Jason A. Janét, W. J. Wiseman, R. D. Michelli, A. L. Walker, Sean M. Scoggins |
ICRA | 3 |
| 1998 | Applications of control networks in distributed robotic systemsabstractOur research centers around finding hardware and software components that enable us to mimic biological entities and colonies within the context of multi-agent systems. Specifically, we use control networks with fieldbus or wireless data links to connect distributed hardware and software modules. Although there are many implementations of multi-agent systems, most literature seems to focus on the algorithmic aspects. In this paper, we describe how LonWorks control networks, coupled with minimal custom electromechanical devices, can be used to construct multi-agent systems. Important issues include real-time system constraints, fault-tolerance, synchronization, and, of course, solving the robotic tasks at hand. We describe three proof-of-concept projects currently underway: a biped walking robot; an hexapod colony; and a complex autonomous vehicle. It is believed that attributes observed in these projects can be used to build application-specific systems for automation, space exploration, hazardous materials operations, etc. Jason A. Janét, W. J. Wiseman, R. D. Michelli, A. L. Walker, M. D. Wysochanski, R. Hamlin |
SMC | 3 |