Social-aware Robot Navigation based on Deep Reinforcement Learning

Y Zhou - 2024 - bonndoc.ulb.uni-bonn.de
With the increase of applications involving autonomous mobile robots, there is a growing
need for them to navigate safely and effectively in environments shared with humans. In …

Learning Crowd Behaviors in Navigation with Attention-based Spatial-Temporal Graphs

Y Zhou, J Garcke - arXiv preprint arXiv:2401.06226, 2024 - arxiv.org
Safe and efficient navigation in dynamic environments shared with humans remains an
open and challenging task for mobile robots. Previous works have shown the efficacy of …

Crowd-aware mobile robot navigation based on improved decentralized structured rnn via deep reinforcement learning

Y Zhang, Z Feng - Sensors, 2023 - mdpi.com
Efficient navigation in a socially compliant manner is an important and challenging task for
robots working in dynamic dense crowd environments. With the development of artificial …

Robot-Crowd Navigation with Socially-Aware Reinforcement Learning Over Graphs

B Li, J Sun, Z Li, G Wang - 2023 42nd Chinese Control …, 2023 - ieeexplore.ieee.org
Robots typically perform navigation task in a crowd environment, where the navigation task
requires robots to reach a target point safely and efficiently, and to have the least impact on …

Navistar: Socially aware robot navigation with hybrid spatio-temporal graph transformer and preference learning

W Wang, R Wang, L Mao, BC Min - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Developing robotic technologies for use in human society requires ensuring the safety of
robots' navigation behaviors while adhering to pedestrians' expectations and social norms …

Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning

D Flögel, L Fischer, T Rudolf, T Schürmann… - arXiv preprint arXiv …, 2024 - arxiv.org
Mobile robots are being used on a large scale in various crowded situations and become
part of our society. The socially acceptable navigation behavior of a mobile robot with …

Crowd-Aware Socially Compliant Robot Navigation via Deep Reinforcement Learning

B Xue, M Gao, C Wang, Y Cheng, F Zhou - International Journal of Social …, 2024 - Springer
Navigating in crowd environments is challenging for mobile robots because not only the
safety but also the comfort of surrounding pedestrians must be considered. In this work, a …

MeSA-DRL: Memory-Enhanced Deep Reinforcement Learning for Advanced Socially Aware Robot Navigation in Crowded Environments

MS Muhammad, E Montero - arXiv preprint arXiv:2404.05203, 2024 - arxiv.org
Autonomous navigation capabilities play a critical role in service robots operating in
environments where human interactions are pivotal, due to the dynamic and unpredictable …

MeSA-DRL: Memory-Enhanced Deep Reinforcement Learning for Advanced Socially Aware Robot Navigation in Crowded Environments

M Saeed Muhammad, E Montero - arXiv e-prints, 2024 - ui.adsabs.harvard.edu
Autonomous navigation capabilities play a critical role in service robots operating in
environments where human interactions are pivotal, due to the dynamic and unpredictable …

Socially aware robot navigation in crowds via deep reinforcement learning with resilient reward functions

X Lu, H Woo, A Faragasso, A Yamashita… - Advanced …, 2022 - Taylor & Francis
Robots navigating in a robot–human coexisting environment need to optimize their paths not
only for task-related performance (eg safety and efficiency) but also for their social …