7 citations · 15 across the 6 of their papers we have counts for
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cs.RO2022
Robot Navigation Anticipative Strategies in Deep Reinforcement Motion Planning
Óscar Gil, Alberto Sanfeliu
The navigation of robots in dynamic urban environments, requires elaborated anticipative strategies for the robot to avoid collisions with dynamic objects, like bicycles or pedestr…
cs.RO2019★ 6 cited
Effects of a Social Force Model reward in Robot Navigation based on Deep Reinforcement Learning
Óscar Gil Viyuela, Alberto Sanfeliu
In this paper is proposed an inclusion of the Social Force Model (SFM) into a concrete Deep Reinforcement Learning (RL) framework for robot navigation. These types of techniques ha…
cs.RO2019
Human-robot Collaborative Navigation Search using Social Reward Sources
Marc Dalmasso, Anaís Garrell, Pablo Jiménez +1
This paper proposes a Social Reward Sources (SRS) design for a Human-Robot Collaborative Navigation (HRCN) task: human-robot collaborative search. It is a flexible approach capable…