Teham Bhuiyan — accepted AI-conference papers

2023

Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments

Linh Kästner, Reyk Carstens, Huajian Zeng, Jacek Kmiecik, Teham Bhuiyan, Niloufar Khorsandi +2

IROS 2023

Following up on our previous works, in this paper, we present Arena-Rosnav 2.0 an extension to our previous works Arena-Bench [1] and Arena-Rosnav [2], which adds a variety of additional modules for developing and benchmarking robotic navigation approaches. The platform is fundamentally restructured

Cited by 11 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 ↗