Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
autonomous driving, minimally invasive surgery and logistics distribution. This review begins …
[HTML][HTML] Motion planning for robotics: A review for sampling-based planners
Recent advancements in robotics have transformed industries such as manufacturing,
logistics, surgery, and planetary exploration. A key challenge is develo** efficient motion …
logistics, surgery, and planetary exploration. A key challenge is develo** efficient motion …
Mobile robot path planning in dynamic environments: A survey
There are many challenges for robot navigation in densely populated dynamic
environments. This paper presents a survey of the path planning methods for robot …
environments. This paper presents a survey of the path planning methods for robot …
Adaptive manipulability-based path planning strategy for industrial robot manipulators
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 …
path planning strategy is proposed for industrial robot manipulators. When sampling in the …
Autonomous mobile robot navigation in uneven and unstructured indoor environments
Robots are increasingly operating in indoor environments designed for and shared with
people. However, robots working safely and autonomously in uneven and unstructured …
people. However, robots working safely and autonomously in uneven and unstructured …
Autonomous robotic exploration by incremental road map construction
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 …
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 …
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
Autonomous 3-D exploration with unmanned aerial vehicles (UAVs) is increasingly
prevalent for environment monitoring without human intervention. In this article, we present a …
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
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 …
environments. This paper addresses an optimal methodology for generating the desired …
A sampling and learning framework to prove motion planning infeasibility
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 …
problems. Sampling-based motion planners are effective in high-dimensional spaces but …