Human-Following and -guiding in Crowded Environments using Semantic Deep-Reinforcement-Learning for Mobile Service Robots

Author:

Kastner Linh1,Fatloun Bassel1,Shen Zhengcheng1,Gawrisch Daniel1,Lambrecht Jens1

Affiliation:

1. Chair Industry Grade Networks and Clouds, Berlin Institute of Technology,Faculty of Electrical Engineering, and Computer Science,Berlin,Germany

Publisher

IEEE

Reference25 articles.

1. Semantic Audio-Visual Navigation

2. Soundspaces: Audio-visual navigation in 3d environments;chen;Computer Vision-ECCV 2020 16th European Conference Glasgow UK August 23–28 2020 Proceedings Part VI 16,2020

3. Learning to set waypoints for audio-visual navigation;chen;International Conference on Learning Representations,0

4. Semantic representation for navigation in large-scale environments

5. Human-Following Mobile Robot in a Distributed Intelligent Sensor Network

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1. Human-following task without a prior map;Industrial Robot: the international journal of robotics research and application;2024-07-02

2. Deep Reinforcement Learning Based Mobile Robot Navigation in Crowd Environments;2024 21st International Conference on Ubiquitous Robots (UR);2024-06-24

3. CrowdBot: An Open-Environment Robot Management System for On-Campus Services;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-05-13

4. Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. A Dual Closed-Loop Control Strategy for Human-Following Robots Respecting Social Space;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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