Risk-Reduced Mobile Robot Path Planning in Smart Environments
Michael F. Arndt, Karsten Berns · International Symposium on Robotics · 2014
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.