Humanoid robotic system for social interaction using deep imitation learning in a smart city environment

SB Alotaibi, S Manimurugan - Frontiers in Sustainable Cities, 2022 - frontiersin.org
Introduction A significant resource for understanding the prospects of smart development is
the smart city initiatives created by towns all around the globe. Robots have changed from …

Socially compliant robot navigation in crowded environment by human behavior resemblance using deep reinforcement learning

SS Samsani, MS Muhammad - IEEE Robotics and Automation …, 2021 - ieeexplore.ieee.org
Social robots have evolved in diverse applications with the emergence of deep
reinforcement learning methods. However, safe and secure navigation of social robots in a …

Analyzing the robotic behavior in a smart city with deep enforcement and imitation learning using IoRT

Y Liu, W Zhang, S Pan, Y Li, Y Chen - Computer Communications, 2020 - Elsevier
Smart City aims to develop an environment in which different things goes to different people.
The smart city provides a core infrastructure by improving the status of the inhabitants by …

Digimobot: Digital twin for human-robot collaboration in indoor environments

Y Fukushima, Y Asai, S Aoki… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Human-robot collaboration and cooperation are critical for Autonomous Mobile Robots
(AMRs) in order to use them in indoor environments, such as offices, hospitals, libraries …

A social human-robot interaction simulator for reinforcement learning systems

JPR Belo, RAF Romero - 2021 20th international conference …, 2021 - ieeexplore.ieee.org
Social robotics represents a branch of human-robot interaction that aims to develop robots to
operate in unstructured environments in direct partnership with human beings. Social robots …

Image processing-based supervised learning to predict robot intention for multimodal interactions between a virtual human and a social robot

SMM Rahman - … Human Systems Integration 2021: Proceedings of the …, 2021 - Springer
A humanoid robot and a virtual human with human-like appearance were developed, and
various similar intelligence, functions, autonomy and interaction modalities were developed …

Enhancing Social Human-Robot Interaction with Deep Reinforcement Learning.

N Akalin, A Kiselev, A Kristoffersson… - FAIM/ISCA Workshop on …, 2018 - diva-portal.org
This research aims to develop an autonomous social robot for elderly individuals. The robot
will learn from the interaction and change its behaviors in order to enhance the interaction …

All aware robot navigation in human environments using deep reinforcement learning

X Lu, A Faragasso, A Yamashita… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Mobile robots functioning in human environments should behave with a secure and socially-
compliant manner. Although many studies have revealed the effectiveness of Deep …

Lessons Learned from the Development of an Affordable Open-Source Based Humanoid Socially Assistive Robot

P Rangel, K Brotherton, E Anderson… - … and Control in …, 2019 - ieeexplore.ieee.org
Affordable elderly care has become a motivator for the development of low-cost and efficient
healthcare related technologies. Among those technologies, multiple Socially Assistive …

End-to-end learning from demonstation for object manipulation of robotis-Op3 humanoid robot

SN Aslan, R Ozalp, A Uçar… - … on INnovations in …, 2020 - ieeexplore.ieee.org
Humanoid robots are deployed ranging from houses and hotels to healthcare and industry
environments to help people. Robots can be easily programed by users to predefined tasks …