Name
Abstract | ||
|---|---|---|
Environmental boundaries, such as the borderline of a forest fire or an oil spill, pose a significant threat for living organisms. Anticipating the dynamics of these phenomena is a potentially life-saving indicator to support efficient and effective evacuations or to dispel the hazard. We propose a decentralized coordination method that allows multiple robots to efficiently sample and predict the behavior of environmental boundaries. Our method does not require a priori information about the boundary dynamics. We validate our proposal through experiments with actual robots. We demonstrate experimentally that our method can estimate and predict non-convex boundaries even with noisy measurements and inaccurate motion actuators. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MRS.2017.8250925 | 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS) |
Keywords | Field | DocType |
time-varying boundaries,environmental boundaries,forest fire,oil spill,living organisms,potentially life-saving indicator,decentralized coordination method,multiple robots,boundary dynamics,actual robots,nonconvex boundaries | Oil spill,Computer science,A priori and a posteriori,Robot kinematics,Control engineering,Robot,Actuator | Conference |
ISBN | Citations | PageRank |
978-1-5090-6310-9 | 0 | 0.34 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Saldana | 1 | 32 | 9.61 |
| Renato Assunção | 2 | 0 | 1.69 |
| M. Ani Hsieh | 3 | 382 | 34.69 |
| Mario Fernando Montenegro Campos | 4 | 557 | 51.60 |
| Vijay Kumar | 5 | 7086 | 693.29 |