Johannes Cox — accepted AI-conference papers

2022

All-in-One: A DRL-based Control Switch Combining State-of-the-art Navigation Planners

Linh KU+000E4stner, Johannes Cox, Teham Buiyan, Jens Lambrecht

ICRA 2022poster

Autonomous navigation of mobile robots is an es-sential aspect in use cases such as delivery, assistance or logistics. Although traditional planning methods are well integrated into existing navigation systems, they struggle in highly dynamic en-vironments. On the other hand, Deep-Reinforcement-Lear…

Cited by 29 Source ↗code ↗Scholar ↗

2022

Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments

Linh Kästner, Teham Bhuiyan, Tuan Anh Le, Elias Treis, Johannes Cox, Boris Meinardus +6

RA-L 2022

The ability to autonomously navigate safely, especially within dynamic environments, is paramount for mobile robotics. In recent years, DRL approaches have shown superior performance in dynamic obstacle avoidance. However, these learning-based approaches are often developed in specially designed sim

Cited by 43 Source ↗code ↗Scholar ↗