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The dynamic window approach to collision avoidance [PDF]

IEEE Robotics and Automation Magazine, 1997
This approach, designed for mobile robots equipped with synchro-drives, is derived directly from the motion dynamics of the robot. In experiments, the dynamic window approach safely controlled the mobile robot RHINO at speeds of up to 95 cm/sec, in populated and dynamic environments.
Sebastian Thrun
exaly   +4 more sources

Local Path Planning: Dynamic Window Approach With Virtual Manipulators Considering Dynamic Obstacles [PDF]

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
doaj   +3 more sources

Dynamic Path Planning for Mobile Robots by Integrating Improved Sparrow Search Algorithm and Dynamic Window Approach

Actuators
To overcome the limitations of the sparrow search algorithm and the challenges of dynamic obstacle avoidance in mobile robots, an integrated method combining the enhanced sparrow search algorithm with the dynamic window approach is introduced.
Junting Hou, Wensong Jiang, Zai Luo, Li Yang, Xiaofeng Hu, Bin Guo   +5 more
doaj   +4 more sources

Research on multi-UAV autonomous obstacle avoidance algorithm integrating improved dynamic window approach and ORCA. [PDF]

Sci Rep
To address the issue that traditional UAV obstacle-avoidance algorithms had low efficiency in unknown and complex environments, an improved DWA (Dynamic Window Approach) fusion algorithm was proposed. Regarding the lack of a global perspective in the DWA
Chang X, Wang J, Li K, Zhang X, Tang Q.
europepmc   +2 more sources

Enhanced Dynamic Window Approach for socially compliant robot navigation [PDF]

Frontiers in Robotics and AI
While contemporary deep learning methods are frequently computationally costly, traditional local planners like the Dynamic Window Approach (DWA) are essentially constrained by their purely geometric, “socially blind” nature.
S. Ashwath, R. Mayank, S. Pavithra
doaj   +2 more sources

Enhancing Obstacle Avoidance in Dynamic Window Approach via Dynamic Obstacle Behavior Prediction

Actuators
This paper proposes an enhanced local path planning method based on the Dynamic Window Approach (DWA), enabling a mobile robot to safely avoid obstacles and efficiently reach its destination.
Bongsu Hahn
doaj   +2 more sources

Enhancing Path Planning Capabilities of Automated Guided Vehicles in Dynamic Environments: Multi-Objective PSO and Dynamic-Window Approach. [PDF]

Biomimetics (Basel)
Automated guided vehicles (AGVs) are vital for optimizing the transport of material in modern industry. AGVs have been widely used in production, logistics, transportation, and commerce, enhancing productivity, lowering labor costs, improving energy ...
Dao TK, Ngo TG, Pan JS, Nguyen TT, Nguyen TT.   +4 more
europepmc   +2 more sources

A Robot Path Planning Method Based on Improved Genetic Algorithm and Improved Dynamic Window Approach

Sustainability, 2023
Intelligent mobile robots play an important role in the green and efficient operation of warehouses and have a significant impact on the natural environment and the economy.
Jianyou Zhao, Gang Xiong, Yue Li
exaly   +2 more sources

Dynamic window based approaches for avoiding obstacles in moving

Robotics and Autonomous Systems, 2019
In recent years, Unmanned Ground Vehicles (UGVs) have been widely used as service robots. Unlike industrial robots, which are situated in fixed and controlled positions, UGVs work in dynamic environments, sharing the environment with other vehicles and humans.
Llamazares Llamazares Angel, Manuel Ocaña   +1 more
exaly   +4 more sources

AUV Path Planning Based on the Flow Field Method and Dynamic Window Approach

IEEE Access
In order to improve the performance of Autonomous Underwater Vehicles (AUVs) in complex marine environments, efficient and reliable navigation strategies are deemed essential.
Xiang Gao, Duowei Jia, Xinghua Liu, Jiaxuan Du, Haibo Zhang   +4 more
doaj   +2 more sources