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Cooperations
Cooperations within SFB/TR 8
In cooperation with the
A1-RoboMap and the A3-MultiBot project, we are developing a
feature-based FastSLAM variant that uses the Voronoi vertices
extracted from a local grid map as features.
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In cooperation with project I2-[MapSpace] we research the utilization
of schematic maps for robot instruction. Schematic maps are valuable
in humans' wayfinding. This joint work pursues to enable
robots understand schematic maps. |
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Modelling right of way in sea navigation
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The goal of this cooperation is modelling right of way rules of sea navigation.
We will investigate the opportunities of several calculi resolving potential
conflict situations, i.e. situations where boats are in danger of a
future collision.
The calculi currently regarded are the Dipole Calculus and the OPRAm
calculi.
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External Cooperations
Robot Navigation and Shape Similarity (Prof. Longin Jan Latecki, Temple University, USA)
Reasoning for topological correctness in robot maps (Prof. Margaret Jefferies, University of Waikato, NZ)
| When representing a robot's surrounding as a graph of local maps, it is important to detect that the robot re-entered a previously visited area. In this cooperation we demonstrate the use of reasoning about shape and the reasoning about qualitative configurations. |
A real-time deliberative component for cooperative multi-robot systems in highly dynamic domains (SPP 1125)
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We cooperate with the
Knowledge Based Systems Group
at RWTH Aachen and the
AllemaniACs RoboCup Team
for integrating qualitative spatial calculi into high-level robot control languages
as Golog
or FLUX.
The major goal of this subproject of the German National Science Foundation's (DFG)
SPP 1125
"Cooperative Multi-robot Teams in highly dynamic domains"
is the design of a deliberative component for cooperative multi-robot systems.
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- Project R3-[Q-Shape]
