Abstract | ||
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A new kind of robots whose characteristics, objectives and operational modes drastically differ from more conventional industrial robots is gaining in- creased interest. This new type of robots aims to achieve a high level of fle xibility, adaptability, and efficienc y for acting in environments designed for humans. To meet these demands, the mobile robots need lots of information about their sur- roundingsat different levels of abstraction, generally in real-time. In this paper a sensor concept is described containing symbolic and sub-symbolic information delivering the required data for all tasks. Based on this information the planning, navigation, and collision avoidance of the ARIADNE robots is done. 1 |
Year | DOI | Venue |
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1998 | 10.1007/978-3-642-60043-2_8 | AMS |
Keywords | Field | DocType |
real-time object detection,autonomous robots,mobile robot,real time | Adaptability,Robot control,Object detection,AISoy1,Simulation,Computer science,Collision,Human–computer interaction,Self-reconfiguring modular robot,Robot,Mobile robot | Conference |
ISBN | Citations | PageRank |
3-540-65192-6 | 4 | 0.70 |
References | Authors | |
4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael Pauly | 1 | 11 | 4.01 |
Hartmut Surmann | 2 | 699 | 50.40 |
Marion Finke | 3 | 4 | 1.37 |
N. Liang | 4 | 4 | 0.70 |