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Algorithm for intelligent collaborative target search and trajectory planning of MAV/UAV
Published 2024-01-01“…Based on the manned aerial vehicle (MAV) / unmanned aerial vehicle (UAV) intelligent cooperation platform, the search of multiple interfered signal sources with unknown locations and trajectory planning were studied.Considering the real-time and dynamic nature of the search process, a MAV/UAV intelligent collaborative target search and trajectory planning (MUICTSTP) algorithm based on multi-agent deep reinforcement learning (MADRL) was proposed.Each UAV made online decision on trajectory planning by sensing the received interference signal strength (RISS) values, and then transmitted the sensing information and decision-making actions to the MAV to obtain the global evaluation.The simulation results show that the proposed algorithm exhibits better performance in long-term RISS, collision, and other aspects compared to other algorithms, and the learning strategy is better.…”
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42
Simulation-based review of classical, heuristic, and metaheuristic path planning algorithms
Published 2025-04-01“…Abstract Path planning is the process by which an autonomous robot obtains information about its environment and chooses the best route from the start point to the target destination while avoiding obstacles. …”
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43
N-Dimensional Reduction Algorithm for Learning from Demonstration Path Planning
Published 2025-03-01“…This paper presents an <i>n</i>-dimensional reduction algorithm for Learning from Demonstration (LfD) for robotic path planning, addressing the complexity of high-dimensional data. …”
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44
Path Planning of Quadrupedal Robot Based on Improved RRT-Connect Algorithm
Published 2025-04-01“…In view of the large randomness, redundant path nodes, and low search efficiency of RRT-connect in a complex obstacle environment, this study intends to develop a path-planning method combining RRT-connect and Informed RRT*. …”
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The Improved RRT Integrated With the Artificial Potential Field Path Planning Algorithm
Published 2025-01-01“…The traditional informed rapidly exploring random tree * algorithm (IRRT*) has several drawbacks, including low efficiency, numerous ineffective samples, strict requirements of the environment, and slow convergence of path length in narrow passages. …”
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46
Optimization Planning Techniques with Meta-Heuristic Algorithms in IoT: Performance and QoS Evaluation
Published 2024-08-01Get full text
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47
ALGORITHMIC SUPPORT OF INFORMATION PROCESSING IN THE VOLUNTEER CENTER MANAGEMENT SYSTEM
Published 2022-08-01“…The results of the development of algorithmic support for the project "Automated Information System of the Volunteer Center" are presented, the purpose of which is to obtain a multifunctional tool for planning and distribution of human and time resources, by partially automating the work of employees and the head of the volunteer center "At the Call of the Heart".…”
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48
Model and Algorithm of Cooperative Optimization Decomposition for Short-Term Contract Electricity Considering Wind Power Uncertainty
Published 2023-12-01“…And then, based on the day-ahead and intraday short-term and ultra-short-term load and wind power forecast information, the day-ahead robust generation plan model and algorithm and the intraday redispatch model and algorithm are constructed respectively with consideration of the contract completion degree, to realize the full accommodation of wind power and full execution of the daily contract electricity with the premise of power load to be fully supplied and the security constraints to be met. …”
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49
Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots
Published 2025-07-01Get full text
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50
A Shortest Distance Priority UAV Path Planning Algorithm for Precision Agriculture
Published 2024-11-01Get full text
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51
Automatic Real-Time Generation of Floor Plans Based on Squarified Treemaps Algorithm
Published 2010-01-01“…A novel approach to generate house floor plans with semantic information is presented. The basis of this model is the squarified treemaps algorithm. …”
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52
Research on Local Obstacle Avoidance Path Planning Algorithm for Autonomous Mining Trucks
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53
Smooth Path Planning of Mobile Robot Based on Improved Ant Colony Algorithm
Published 2021-01-01“…Aiming at the problems of slow convergence, easy to fall into local optimum, and poor smoothness of traditional ant colony algorithm in mobile robot path planning, an improved ant colony algorithm based on path smoothing factor was proposed. …”
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54
Hybrid path planning algorithm for underactuated AUV based on RRT star and APF
Published 2025-08-01Get full text
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55
Analysis of Urban Rail Transit Station Planning Combining Simulated Annealing Algorithm
Published 2022-01-01“…In this study, the simulated annealing algorithm (SAA) is applied to the data analysis of the rail transit stations in a city. …”
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56
Motion Planning and Tracking Control of Autonomous Vehicle Based on Improved A∗ Algorithm
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Unmanned aerial vehicle path planning with hybrid motion algorithm for obstacle avoidance
Published 2024-12-01“…To enhance trajectory optimization, the optimized motion planner enhances the Rapidly-exploring Random Tree (RRTX) method with a Covariant Hamiltonian Optimization for Motion Planning (CHOMP) algorithm-based optimizer. Addressing the challenges posed by dynamic environments characterized by abrupt appearance, disappearance, or shifting of constraints, the motion planner adeptly identifies environmental changes and computes collision-free paths during UAV navigation. …”
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A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm
Published 2022-06-01Get full text
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Enhanced Ant Colony Algorithm Based on Islands for Mobile Robot Path Planning
Published 2025-06-01“…This study introduces an enhanced ant colony algorithm based on islands (EACI) for mobile robot path planning. …”
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Improved Exponential and Cost-Weighted Hybrid Algorithm for Mobile Robot Path Planning
Published 2025-04-01“…The A* algorithm is widely used in mobile robot path planning; however, it faces challenges such as unsmooth planned paths, redundant nodes, and extensive search areas. …”
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