Search Results for author: Cornelius Marx

Found 2 papers, 2 papers with code

Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators

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.

reinforcement-learning Reinforcement Learning (RL)

134

Paper
Code

Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments

1 code implementation • 2 Aug 2020 • Linh Kästner, Cornelius Marx, Jens Lambrecht

Visual based navigation and high level semantics bear the potential to enhance the safety of path planing by creating links the agent can reason about for a more flexible navigation.

Robotics

Paper
Code

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