Qualitative constraints for human-aware robot navigation using Velocity Costmaps

Dondrup, Christian and Hanheide, Marc (2016) Qualitative constraints for human-aware robot navigation using Velocity Costmaps. In: Robot and Human Interactive Communication (RO-MAN), 2016 25th IEEE International Symposium on, 26 - 31 August 2016, New York, NY, USA.

Full content URL: https://doi.org/10.1109/ROMAN.2016.7745177

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In this work, we propose the combination of a state-of-the-art sampling-based local planner with so-called Velocity Costmaps to achieve human-aware robot navigation. Instead of introducing humans as “special obstacles” into the representation of the environment, we restrict the sample space of a “Dynamic Window Approach” local planner to only allow trajectories based on a qualitative description of the future unfolding of the encounter. To achieve this, we use a Bayesian temporal model based on a Qualitative Trajectory Calculus to represent the mutual navigation intent of human and robot, and translate these descriptors into sample space constraints for trajectory generation. We show how to learn these models from demonstration and evaluate our approach against standard Gaussian cost models in simulation and in real-world using a non-holonomic mobile robot. Our experiments show that our approach exceeds the performance and safety of the Gaussian models in pass-by and path crossing situations.

Keywords:Human computer interaction, Robots, trajectory control, Bayes methods, calculus, mobile robots, path planning, Navigation, Trajectory, Reliability, Planning, mobile robot, qualitative constraint, human-aware robot navigation, velocity costmap, dynamic window approach, Bayesian temporal model, qualitative trajectory calculus, trajectory generation
Subjects:H Engineering > H670 Robotics and Cybernetics
Divisions:College of Science > School of Computer Science
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ID Code:27957
Deposited On:08 Aug 2017 14:16

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