Can a robot trust you? - A DRL approach to Social Robot Navigation:
This work explores the idea of human-robot trust from a robot’s perspective, rather than from a human standpoint. It raises the question as to whether a robot can trust humans on the guidance they give it when placed in an unknown environment. In order to answer this, a deep reinforcement learning approach is presented, in which an optimal navigation policy is learnt via a social reward.
Paper - Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation - Vishnu Sashank Dorbala, Arjun Srinivasan, Aniket Bera
Proxemo - Emotion Learning for Socially Aware Navigation:
In this work, we present a deep learning approach for deciphering emotions from gaits. The extracted emotions along with psychology obtained proxemic constraints are used to navigate the robot in a socially aware manner. The results showcase a significant improvement in the accuracy of emotion prediction from gait sequences, which in turn improves the overall performance of the navigation scheme.
Paper - ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation - Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala, Dinesh Manocha, Aniket Bera