Risk-Reduced Mobile Robot Path Planning in Smart Environ- ments

نویسنده

  • Michael Arndt
چکیده

Despite advanced sensor systems to avoid collisions, mobile robots can still present safety hazards for human beings when employed in populated areas. This work suggests a method to reduce this risk with the help of information gathered through sensors embedded into a smart environment. By using models to estimate the state of the environment, the path planning entities of mobile robots can be influenced in a way to find efficient, yet safe plans to accomplish their goals.

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تاریخ انتشار 2014