Recent progress, challenges and future prospects of applied deep reinforcement learning: A practical perspective in path planning

Y Zhang, W Zhao, J Wang, Y Yuan - Neurocomputing, 2024 - Elsevier
Path planning is one of the most crucial elements in the field of robotics, such as
autonomous driving, minimally invasive surgery and logistics distribution. This review begins …

[HTML][HTML] Motion planning for robotics: A review for sampling-based planners

L Zhang, K Cai, Z Sun, Z Bing, C Wang… - Biomimetic Intelligence …, 2025 - Elsevier
Recent advancements in robotics have transformed industries such as manufacturing,
logistics, surgery, and planetary exploration. A key challenge is develo** efficient motion …

Mobile robot path planning in dynamic environments: A survey

K Cai, C Wang, J Cheng, CW De Silva… - arxiv preprint arxiv …, 2020 - arxiv.org
There are many challenges for robot navigation in densely populated dynamic
environments. This paper presents a survey of the path planning methods for robot …

Adaptive manipulability-based path planning strategy for industrial robot manipulators

H Shen, WF **e, J Tang, T Zhou - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
In this article, a novel manipulability-based optimal rapidly exploring random tree (RRT*)
path planning strategy is proposed for industrial robot manipulators. When sampling in the …

Autonomous mobile robot navigation in uneven and unstructured indoor environments

C Wang, L Meng, S She, IM Mitchell, T Li… - 2017 IEEE/RSJ …, 2017 - ieeexplore.ieee.org
Robots are increasingly operating in indoor environments designed for and shared with
people. However, robots working safely and autonomously in uneven and unstructured …

Autonomous robotic exploration by incremental road map construction

C Wang, W Chi, Y Sun… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel path planning framework for autonomous exploration in
unknown environments using a mobile robot. A graph structure is incrementally constructed …

Improved RRT algorithms to solve path planning of multi-glider in time-varying ocean currents

W Lan, X **, T Wang, H Zhou - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, through the application research of underwater gliders, it is found that ocean
currents are the major influencing factor in the practical application of gliders. The objective …

Efficient autonomous exploration with incrementally built topological map in 3-D environments

C Wang, H Ma, W Chen, L Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Autonomous 3-D exploration with unmanned aerial vehicles (UAVs) is increasingly
prevalent for environment monitoring without human intervention. In this article, we present a …

Mobile robot's path-planning and path-tracking in static and dynamic environments: Dynamic programming approach

A Marashian, A Razminia - Robotics and Autonomous Systems, 2024 - Elsevier
One of the main issues in robotics systems is planning and tracking a safe path in diverse
environments. This paper addresses an optimal methodology for generating the desired …

A sampling and learning framework to prove motion planning infeasibility

S Li, NT Dantam - The International Journal of Robotics …, 2023 - journals.sagepub.com
We present a learning-based approach to prove infeasibility of kinematic motion planning
problems. Sampling-based motion planners are effective in high-dimensional spaces but …