… motion planning modules are considered in an integrated manner. Moreover, the social
behaviors, … the development of the motion planning algorithm. Finally, the decision making and …

… human behaviors directly, this work notes that the complex normative motion patterns can be
… of precisely defined procedural rules, social norms are the emergent behaviors from a time-…

… We aim to reproduce human behavior by creating a motion planner that takes the interaction
awareness of all agents into account and generates human-like trajectories. In our previous …

… is a function of the context or the behavior, we do so over every possible behavior. The …
social robot motion planning. We model all these behaviors observed in humans. The aim of …

… -driven motion planning approach for interaction-aware, socially-compliant … The model is
trained to predict joint behavior of … We evaluate the benefit of interaction-aware motion planning …

… In this paper, we presented a novel navigation approach that generates human-like motion
behavior for mobile robots in highly populated environments. The approach detects and …

… , and the social force model is used to plan the movement … social force model is used as
the repulsive force in the unmanned vehicle behavior dynamic model, and the motion planning …

… We will show that considering the gracefulness objective in planning allows M to learn more
sophisticated behavior, such as passive aggressive motions that gently force H to yield. The …

… a motion planning framework … socially compliant driving behaviors (encoded by high-level
decision variables), and a local trajectory optimization method that executes these behaviors (…

… to goals and then developed a motion planning algorithm for omni-directional … motion
planner couples the two motions with constraints inspired from the observation of human behaviors…