搜索资源列表
G_project
- 机器鱼几何定位算法的C语言实现,适合动态游动过程中自身定位和目标追踪。-Robot Fish geometric positioning algorithm C language, suitable for swimming during its dynamic positioning and target tracking.
AFSA
- 人工鱼群算法在调整和优化机器人路径中的应用-Artificial fish swarm algorithm to adjust and optimize the paths of the robot
Particle-swarm-optimization
- 微粒群优化算法(Particle Swarm Optimization,PSO算法)源于鸟群和鱼群群体运 动行为的研究,是一种新的群体智能优化算法,是演化计算领域中的一个新的分支。它 的主要特点是原理简单、参数少、收敛速度较快,所需领域知识少。该算法的出现引起 了学者们极大的关注,已在函数优化、神经网络训练、组合优化、机器人路径规划等领 域获得了广泛应用,并取得了较好的效果。尽管粒子群优化算法发展近十年,但无论是 理论分析还是实践应用都尚未成熟,有大量的问题值得研究。 -
AFSA_Robots
- 基于人工鱼群算法的机器人加工路径规划,可以自行修改,也可作为初学人工鱼群算法的爱好者学习。-Robot based on artificial fish processing path planning algorithm, can modify, but also as a beginner AFSA enthusiasts to learn.
1
- Path Planning for Coalmine Rescue Robot based on Hybrid Adaptive Artificial Fish Swarm Algorithm
Improved-Artificial-Fish-Swarm-Algorithm
- Robot Global Path Planning Based on Improved Artificial Fish-Swarm Algorithm
Improving-the-Fish-Swarm-Algorithm-for-Robot-Path
- The Research of Improving the Fish Swarm Algorithm for Robot Path Planning
6043code
- 人工鱼群在机器人路径规划中的应用,代码清晰可靠,完全正确,非常实用的资料-Artificial fish robot path planning application, the code clear and reliable, exactly right, very practical information
FishEXE
- 编写好的机器鱼控制平台,可以对多关节机器鱼进行运动控制-Writing good fish machine control platform, multi-joint robot fish can exercise control
Robot-fish
- 水中机器人比赛项目的代码,可以完成比赛规定的各种动作-Water robot game code, you can complete the game
RoFish
- 多关节水中机器人鱼的底层固件,使机器人鱼能够通过平台操控其活动-The bottom of the robotic fish in the multi-joint water, so that the robot can control its activities through the platform