Results 11 to 20 of about 198,657 (297)
A Biomimetical Dynamic Window Approach to Navigation for Collaborative Control [PDF]
This work was supported in part by the Spanish Ministerio de Educacion y Ciencia through Project TEC2011-29106 and Project TEC2014-56256-C2-1-P, in part by the Hospital Regional Universitario of Malaga, and in part by the ´ Fondazione Santa Lucia of Rome. This paper was recommended by Associate Editor J. Wachs.
Joaquín Ballesteros +3 more
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Remote Shared Control With Dynamic Window Approach in Unknown Narrow Environment
For telepresence mobile robots, avoiding collisions in unknown narrow environments has been a significant challenge. This paper defines an unknown environment as having no prior map and a narrow environment as having obstacles close to the robot’s
Xiaoge Feng, Naoki Motoi
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The Local Path Planning Algorithm for Amphibious Robots Based on an Improved Dynamic Window Approach
The autonomous navigation capability of amphibious robots in complex water–land environments is a key technology. However, with the existing local path planning methods, it is difficult to meet the autonomous navigation needs of amphibious robots.
Xiaoqiang Dai +5 more
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RRT*-Fuzzy Dynamic Window Approach (RRT*-FDWA) for Collision-Free Path Planning
Path planning is an important aspect and component in the research of mobile-robot-related technologies. Many path planning algorithms are only applicable to static environments, while in practical tasks, the uncertainty in dynamic environments increases
Lintao Zhou +4 more
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Unmanned transportation in construction scenarios presents a significant challenge due to the presence of complex dynamic on-ground obstacles and potential airborne falling objects.
Da Jiang +7 more
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Improvement of Dynamic Window Approach in Dynamic Obstacle Environment
Abstract The dynamic window approach (DWA) controls the movement of the robot by searching the speed space and is widely used in the path planning of mobile robots. However, in the dynamic obstacle environment, when searching for the optimal speed, it is easy to fall into the local optimal solution, which leads to the failure of path ...
Mingpeng Si, Xiangyu Zhou, Yi Zhang
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In order to meet the performance requirements of global optimality and path smoothness in robot path planning, a new fusion algorithm of jump-A* algorithm and dynamic window approach is proposed.
Lisang Liu +7 more
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Adaptive Reward Computation in Reinforcement Learning-Based Continuous Integration Testing
Reinforcement learning (RL) has been applied to prioritizing test cases in Continuous Integration (CI) testing, where the reward plays a crucial role.
Yang Yang +3 more
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Enhancing Path Planning Capabilities of Automated Guided Vehicles in Dynamic Environments: Multi-Objective PSO and Dynamic-Window Approach. [PDF]
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 +4 more
europepmc +2 more sources
Path Planning of Robot Combing Safety A* Algorithm and Dynamic Window Approach [PDF]
The A* algorithm relies on heuristic information to guide the search direction and is widely used for path planning of mobile robots.However, the search path of this algorithm has redundant nodes that are similar to obstacles, which prevent the algorithm
ZHAN Jingwu, HUANG Yiqing
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