Spatial reasoning for human robot interaction

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How researchers see this paper

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Learning Trajectory Preferences for Manipulators via Iterative Improvement (2013, neutral): “[34, 33] and Mainprice et. al.”
Learning preferences for manipulation tasks from online coactive feedback (2015, unknown): “[55, 54] and Mainprice et. al.”
Human-aware task planning for mobile robots (2009, background): “, within COGNIRON [1]) or human-aware manipulation [27].”
Human preferences for robot-human hand-over configurations (2011, background): “The problem of choosing hand-over configurations was addressed in [17] proposing the criteria of safety, visibility and comfort.”
Planning human-aware motions using a sampling-based costmap planner (2011, methodology): “Finally, experimental results are presented to demonstrate the efficacy of the approach (Section IV).”