1 code implementation • 21 Apr 2023 • Zhengcheng Shen, Yi Gao, Linh Kästner, Jens Lambrecht
HabitatDyn was created from the perspective of a mobile robot with a moving camera, and contains 30 scenes featuring six different types of moving objects with varying velocities.
1 code implementation • 23 Sep 2021 • Linh Kästner, Junhui Li, Zhengcheng Shen, Jens Lambrecht
In this paper, we propose a semantic Deep-reinforcement-learning-based navigation approach that teaches object-specific safety rules by considering high-level obstacle information.
1 code implementation • 8 Apr 2021 • Linh Kästner, Teham Buiyan, Xinlin Zhao, Zhengcheng Shen, Cornelius Marx, Jens Lambrecht
Deep Reinforcement Learning has emerged as an efficient dynamic obstacle avoidance method in highly dynamic environments.
1 code implementation • 8 Apr 2021 • Linh Kästner, Teham Buiyan, Xinlin Zhao, Lei Jiao, Zhengcheng Shen, Jens Lambrecht
Recently, mobile robots have become important tools in various industries, especially in logistics.
no code implementations • 8 Apr 2021 • Zhengcheng Shen, Linh Kästner, Jens Lambrecht
The imagination of the surrounding environment based on experience and semantic cognition has great potential to extend the limited observations and provide more information for mapping, collision avoidance, and path planning.