mlsanityData to 14 Oct 2026

Deep Reinforcement Learning for Mobile Robot Path Planning

arXiv 2404.06974 ↗First posted 10 Apr 2024cs.ROcited by 5

On the map: Deep reinforcement learning methods → RL for robot navigation and UAV control

Abstract (arXiv)

Path planning is an important problem with the the applications in many aspects, such as video games, robotics etc. This paper proposes a novel method to address the problem of Deep Reinforcement Learning (DRL) based path planning for a mobile robot. We design DRL-based algorithms, including reward functions, and parameter optimization, to avoid time-consuming work in a 2D environment. We also designed an Two-way search hybrid A* algorithm to improve the quality of local path planning. We transferred the designed algorithm to a simple embedded environment to test the computational load of the algorithm when running on a mobile robot. Experiments show that when deployed on a robot platform, the DRL-based algorithm in this article can achieve better planning results and consume less computing resources.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Placed in RL for robot navigation and UAV control, one of 15 directions in Deep reinforcement learning methods. Builds on 17 of its 42 references that are in the map. First posted on arXiv 10 Apr 2024.

Builds on

17 of 42 references.

References · 17

  1. 2017Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigationcited by 98
  2. 2023NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Spacecited by 90
  3. 2017PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planningcited by 69
  4. 2024Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Reviewcited by 53
  5. 2016From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robotscited by 44
  6. 2019Long-Range Indoor Navigation with PRM-RLcited by 31
  7. 2023Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Modelscited by 27
  8. 2024Particle Filter SLAM for Vehicle Localizationcited by 23
  9. 2024News Recommendation with Attention Mechanismcited by 15
  10. 2024Rumor Detection with a novel graph neural network approachcited by 15
  11. 2023Building Lane-Level Maps from Aerial Imagescited by 13
  12. 2024Development and Application of a Monte Carlo Tree Search Algorithm for Simulating Da Vinci Code Game Strategiescited by 12
5 more
  1. 2024Fostc3net:A Lightweight YOLOv5 Based On the Network Structure Optimizationcited by 12
  2. 2024Utilizing the LightGBM Algorithm for Operator User Credit Assessment Researchcited by 12
  3. 2024Image Captioning in news report scenariocited by 12
  4. 2016Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robotscited by 11
  5. 2020Collision Avoidance Robotics Via Meta-Learning (CARML)cited by 1

Built on by

Cited by year

Citing papers per year: 2024: 4; 2025: 1.

5 papers.

  1. 2024Cross-Task Multi-Branch Vision Transformer for Facial Expression and Mask Wearing Classificationcited by 16
  2. 2024End-To-End Training and Testing Gamification Framework to Learn Human Highway Drivingcited by 2
  3. 2024Advancing Prompt Recovery in NLP: A Deep Dive into the Integration of Gemma-2b-it and Phi2 Modelscited by 2
  4. 2024A Global-Local Attention Mechanism for Relation Classificationcited by 1
  5. 2025Taxonomy and Trends in Reinforcement Learning for Robotics and Control Systems: A Structured Reviewcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation
  2. 2025The Emergence of Deep Reinforcement Learning for Path Planning
  3. 2024Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey
  4. 2021A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
  5. 2024Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning
  6. 2024Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework
  7. 2024Mobile Robot Exploration Without Maps via Out-of-Distribution Deep Reinforcement Learning
  8. 2024Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes