[HTML][HTML] Evaluation of socially-aware robot navigation
As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …
imperative that these robots navigate with and among people in a safe and socially …
A survey on socially aware robot navigation: Taxonomy and future challenges
PT Singamaneni, P Bachiller-Burgos… - … Journal of Robotics …, 2024 - journals.sagepub.com
Socially aware robot navigation is gaining popularity with the increase in delivery and
assistive robots. The research is further fueled by a need for socially aware navigation skills …
assistive robots. The research is further fueled by a need for socially aware navigation skills …
[HTML][HTML] A SLAM-based localization and navigation system for social robots: The pepper robot case
Robot navigation in indoor environments has become an essential task for several
applications, including situations in which a mobile robot needs to travel independently to a …
applications, including situations in which a mobile robot needs to travel independently to a …
Multi-agent navigation in human-shared environments: A safe and socially-aware approach
The paper addresses the problem of multi-robot navigation in human shared spaces. We
propose a hierarchical framework that combines global path planning, local path planning …
propose a hierarchical framework that combines global path planning, local path planning …
Reactive, proactive, and inducible proximal crowd robot navigation method based on inducible social force model
M Kamezaki, Y Tsuburaya, T Kanada… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
To smoothly and efficiently enable autonomous mobile robots to move in human crowd
environments, path planning based on human movement-prediction, reactive movement …
environments, path planning based on human movement-prediction, reactive movement …
[HTML][HTML] Memory-based crowd-aware robot navigation using deep reinforcement learning
The evolution of learning techniques has led robotics to have a considerable influence in
industrial and household applications. With the progress in technology revolution, the …
industrial and household applications. With the progress in technology revolution, the …
Learning crowd-aware robot navigation from challenging environments via distributed deep reinforcement learning
S Matsuzaki, Y Hasegawa - 2022 International conference on …, 2022 - ieeexplore.ieee.org
This paper presents a deep reinforcement learning (DRL) sframework for safe and efficient
navigation in crowded environments. Here, the robot learns cooperative behavior using a …
navigation in crowded environments. Here, the robot learns cooperative behavior using a …
Learning to socially navigate in pedestrian-rich environments with interaction capacity
Existing navigation policies for autonomous robots tend to focus on collision avoidance
while ignoring human-robot interactions in social life. For instance, robots can pass along …
while ignoring human-robot interactions in social life. For instance, robots can pass along …
Human-aware path planning with improved virtual doppler method in highly dynamic environments
Human-aware path planner is essential for achieving harmonious coexistence between
humans and robots in highly dynamic environments. In this paper, we propose an integrated …
humans and robots in highly dynamic environments. In this paper, we propose an integrated …
Multi-objective crowd-aware robot navigation system using deep reinforcement learning
CL Cheng, CC Hsu, S Saeedvand, JH Jo - Applied Soft Computing, 2024 - Elsevier
Navigating efficiently and safely through human crowds is essential for mobile robots in
diverse applications such as delivery services, home assistance, healthcare, and …
diverse applications such as delivery services, home assistance, healthcare, and …