- End|to|End Mobile Robot Navigation using a Residual Deep ...🔍
- A Comprehensive Review of Mobile Robot Navigation Using Deep ...🔍
- A deep residual reinforcement learning algorithm based on Soft ...🔍
- End|to|End Navigation Strategy With Deep Reinforcement Learning ...🔍
- Deep Reinforcement Learning with Enhanced PPO for Safe Mobile ...🔍
- Mobile robot navigation based on Deep Reinforcement Learning🔍
- Mobile Robot Navigation Using Deep Reinforcement Learning🔍
- Navigation of autonomous mobile robots in dynamic unknown ...🔍
End|to|End Mobile Robot Navigation using a Residual Deep ...
End-to-End Mobile Robot Navigation using a Residual Deep ...
The Deep Reinforcement Learning (DRL) and the End-to-End (E2E) approaches to goal-oriented robot navigation have the potential to render policies able to tackle ...
End-to-End Mobile Robot Navigation using a Residual Deep ...
The Deep Reinforcement. Learning (DRL) and the End-to-End (E2E) approaches to goal- oriented robot navigation have the potential to render policies able to ...
End-to-End Mobile Robot Navigation using a Residual Deep ...
An architecture based on convolutional units and residual blocks being able to enhance adaptability to unseen and dynamic human environments is reported, ...
End-to-End Mobile Robot Navigation using a Residual Deep ...
We present a novel reinforcement learning (RL) based task allocation and decentralized navigation algorithm for mobile robots in warehouse ...
End-to-End Mobile Robot Navigation using a Residual Deep ...
End-to-End Mobile Robot Navigation using a Residual Deep Reinforcement Learning in Dynamic Human Environments. Abdullah Ahmed, Yasser F. O. Mohammad, V ...
A Comprehensive Review of Mobile Robot Navigation Using Deep ...
Navigation is a crucial challenge for mobile robots. Currently, deep reinforcement learning has attracted considerable attention and has ...
End-to-End Mobile Robot Navigation using a Residual Deep ...
End-to-End Mobile Robot Navigation using a Residual Deep Reinforcement Learning in Dynamic Human Environments. A. Ahmed, Y. Mohammad, V. Parque, H. El ...
A deep residual reinforcement learning algorithm based on Soft ...
In an autonomous navigation strategy, the robot observes the current state through its on-board sensors; and the observed content constitutes ...
End-to-End Navigation Strategy With Deep Reinforcement Learning ...
An end-to-end navigation planner that translates sparse laser ranging results into movement actions and achieves map-less navigation in complex environments ...
Deep Reinforcement Learning with Enhanced PPO for Safe Mobile ...
This study investigates the application of deep reinforcement learning to train a mobile robot for autonomous navigation in a complex environment.
End-to-End Navigation Strategy With Deep Reinforcement Learning ...
This paper develops a navigation strategy based on deep reinforcement learning (DRL) for mobile robots. Because of the large difference between simulation ...
Mobile robot navigation based on Deep Reinforcement Learning
LSTM and a deep residual learning model. Hongming Chen, Wei Meng ... 2019 End-to-end navigation strategy with deep reinforcement learning for mobile robots.
Mobile Robot Navigation Using Deep Reinforcement Learning - MDPI
Unlike conventional approaches, this paper proposes an end-to-end approach that uses deep reinforcement learning for autonomous mobile robot navigation in an ...
Deep Reinforcement Learning with Enhanced PPO for Safe Mobile ...
This study investigates the application of deep reinforcement learning to train a mobile robot for autonomous navigation in a complex ...
Mobile robot navigation based on Deep Reinforcement Learning
DRL is based on an end-to-end approach, transforming high-dimensional and continuous inputs into optimal policy to guide mobile robots, forming an advanced ...
Navigation of autonomous mobile robots in dynamic unknown ...
We introduce a model that enables a mobile robot to navigate accurately to specified targets in unknown environments, successfully avoiding obstacles that are ...
Deep Reinforcement Learning for Mapless Mobile Robot Navigation
This limits the overall use of mobile robots in dynamic settings. In this research, we investigate the end-to-end learning-based approach using vision and ...
A deep residual reinforcement learning algorithm based on Soft ...
End-to-End Mobile Robot Navigation using a Residual Deep Reinforcement Learning in Dynamic Human Environments.2022 18th IEEE/ASME International Conference ...
A Data-driven Approach to End-to-end Motion Planning for ...
It can safely navigate the robot through obstacle- cluttered ... Sergeant, et al., “Multimodal deep autoencoders for control of a mobile robot,” in Proc.
Inspection Robot Navigation Based on Improved TD3 Algorithm - PMC
This study aims to improve dual-delay deep deterministic policy gradient algorithms for autonomous robot navigation by better utilizing ...