Local Path Planning: Dynamic Window Approach With Virtual Manipulators Considering Dynamic Obstacles
IEEE Access, 2022 Local path planning considering static and dynamic obstacles for a mobile robot is one of challenging research topics. Conventional local path planning methods generate path candidates by assuming constant velocities for a certain period time. Therefore,
Masato Kobayashi, Naoki Motoi
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LiDAR-Based Local Path Planning Method for Reactive Navigation in Underground Mines
Remote Sensing, 2023 Reactive navigation is the most researched navigation technique for underground vehicles. Local path planning is one of the main research difficulties in reactive navigation. At present, no technique can perfectly solve the problem of local path planning
Yuanjian Jiang +5 more
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An Improved Global and Local Fusion Path-Planning Algorithm for Mobile Robots
SensorsPath planning is a core technology for mobile robots. However, existing state-of-the-art methods suffer from issues such as excessive path redundancy, too many turning points, and poor environmental adaptability.
Yongliang Shi +2 more
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An Overview of Machine Learning Techniques in Local Path Planning for Autonomous Underwater Vehicles
IEEE Access, 2023 Autonomous underwater vehicles (AUVs) have become attractive and essential for underwater search and exploration because of the advantages they offer over manned underwater vehicles. Hence the need to improve AUV technologies.
Chinonso E. Okereke +5 more
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Path Planning With Local Motion Estimations [PDF]
IEEE Robotics and Automation Letters, 2020 We introduce a novel approach to long-range path planning that relies on a learned model to predict the outcome of local motions using possibly partial knowledge. The model is trained from a dataset of trajectories acquired in a self-supervised way. Sampling-based path planners use this component to evaluate edges to be added to the planning tree.
Jérôme Guzzi +4 more
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A Random Sampling-Based Method via Gaussian Process for Motion Planning in Dynamic Environments
Applied Sciences, 2022 Motion planning is widely applied to industrial robots, medical robots, bionic robots, and smart vehicles. Most work environments of robots are not static, which leads to difficulties for robot motion planning. We present a dynamic Gaussian local planner
Jing Xu +5 more
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Path Planning of an Unmanned Surface Vessel Based on the Improved A-Star and Dynamic Window Method
Journal of Marine Science and Engineering, 2023 In order to ensure the safe navigation of USVs (unmanned surface vessels) and real-time collision avoidance, this study conducts global and local path planning for USVs in a variable dynamic environment, while local path planning is proposed under the ...
Shunan Hu +3 more
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Quality-Oriented Hybrid Path Planning Based on A* and Q-Learning for Unmanned Aerial Vehicle
IEEE Access, 2022 Unmanned aerial vehicles (UAVs) are playing an increasingly important role in people’s daily lives due to their low cost of operation, low requirements for ground support, high maneuverability, high environmental adaptability, and high safety. Yet
Dongcheng Li +4 more
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A path planning method using modified harris hawks optimization algorithm for mobile robots [PDF]
PeerJ Computer Science, 2023 Path planning is a critical technology that could help mobile robots accomplish their tasks quickly. However, some path planning algorithms tend to fall into local optimum in complex environments.
Cuicui Cai +4 more
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iADA*-RL: Anytime Graph-Based Path Planning with Deep Reinforcement Learning for an Autonomous UAV
Applied Sciences, 2021 Path planning algorithms are of paramount importance in guidance and collision systems to provide trustworthiness and safety for operations of autonomous unmanned aerial vehicles (UAV).
Aye Aye Maw +3 more
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