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

8 April 2021

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

7 / 7 papers shown

Title
SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations Khaled Nakhleh Minahil Raza Mack Tang M. Andrews Rinu Boney I. Hadžić Jeongran Lee Atefeh Mohajeri Karina Palyutina 12 4 0 21 Mar 2023
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality Hsuan-Kung Yang Tsung-Chih Chiang Tingxin Liu Chun-Wei Huang Jou-Min Liu Tsu-Ching Hsiao Chun-Yi Lee 26 1 0 05 Mar 2023
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems Linh Kästner Marvin Meusel Teham Bhuiyan Jens Lambrecht 14 1 0 06 Feb 2023
Arena-Web -- A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches Linh Kästner Reyk Carstens C. Liebig V.H. Shcherbyna Lena Nahrwold Subhin Lee Jens Lambrecht 23 3 0 06 Feb 2023
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments Linh Kästner Teham Bhuiyan T. Le Elias Treis Johanne Cox ... Reyk Carstens Duc Pichel Bassel Fatloun Niloufar Khorsandi Jens Lambrecht 25 36 0 12 Jun 2022
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 140 509 0 04 May 2018
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 175 583 0 26 Sep 2016