Towards an integrated and human-friendly path following and obstacle avoidance behaviour for robots
| Autor: | Antonio Sgorbissa, Antonello Scalmato, Fulvio Mastrogiovanni, Camilla Bassani |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Computer science Mobile robot 02 engineering and technology 020901 industrial engineering & automation Control theory Bounded function Obstacle avoidance Path (graph theory) 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Simulation Collision avoidance |
| Zdroj: | RO-MAN |
| Popis: | This paper proposes an integrated path following and obstacle avoidance framework for robots in crowded environments. The architecture considers two major requirements: (i) a given performance level for path following must be guaranteed; (ii) human-friendly robots must behave predictably and naturally, in order to avoid dangerous people reactions. In order to generate paths perceived as natural, and inspired by what happens in high traffic highways, we assume a path to consist of a family of curves, which can be switched using sensory information. The resulting behaviour is both predictable (paths are planned and validated beforehand) and natural (the overall qualitative behaviour is maintained when switching curves). The overall error is upper bounded by the curves configuration. The paper presents results in simulation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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