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We carry out a case study that demonstrates a multi-robot collision avoidance scenario in an unknown environment.
This paper reports on statistical results of an animat behavior in an unknown environment using a cognitive map.
Mobile robot's navigation in an unknown environment is used as a test bed for the proposed scaling strategies.
Finally, three rules for control of a SUAS in an unknown environment that restricts maneuverability were identified.
We suggest that the new design can be reliably used for autonomous walking in an unknown environment.
It is generally not easy to achieve smooth path planning in an unknown environment for nonholonomic mobile robots, which are subject to various robot constraints.
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In step I, agents (visualized in red) are introduced into an unknown environment and perform environmental and distance measurements for mapping and localization, respectively.
Fig. 2 Illustration of the environmental exploration procedure: (1) Agents (visualized in red) are introduced into an unknown environment and record environmental and distance measurements for mapping and localization, respectively.
In experiments, the multi-robot systems are given the task of traversing an unknown environment, in an attempt to locate a target.
Consider a person walking in a hospital, which is an unknown environment for her/him.
Preference for the peripheral area and thigmotaxis are behaviours normally observed in mice during their adaptation to an unknown environment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com