代码搜索：Obstacles

找到约 93 项符合「Obstacles」的源代码

代码结果 93
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h obst.h

/* YAKS, a Khepera simulator including a separate GA and ANN (Genetic Algoritm, Artificial Neural Net). Copyright (C) 2000 Johan Carlsson (johanc@ida.his.se) This program is free software
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www.eeworm.com/read/109466/15557048

h sobst.h

/* YAKS, a Khepera simulator including a separate GA and ANN (Genetic Algoritm, Artificial Neural Net). Copyright (C) 2000 Johan Carlsson (johanc@ida.his.se) This program is free software
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www.eeworm.com/read/109466/15557071

h environ.h

/* Optann, a Khepera simulator including a separate GA and ANN (Genetic Algoritm, Artificial Neural Net). Copyright (C) 2000 Johan Carlsson (johanc@ida.his.se) This program is free softwa
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www.eeworm.com/read/109466/15557166

h obst.h

/* YAKS, a Khepera simulator including a separate GA and ANN (Genetic Algoritm, Artificial Neural Net). Copyright (C) 2000 Johan Carlsson (johanc@ida.his.se) This program is free software
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www.eeworm.com/read/379363/9199738

cpp kdtree.cpp

#include "RVOSimulator.h" #include "Agent.h" #include "Obstacle.h" #include "KDTree.h" namespace RVO { RVOSimulator* KDTree::_sim = RVOSimulator::Instance(); KDTree::KDTree(void) {
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www.eeworm.com/read/402337/11536925

m main.m

%------main主函数-------------------------------------------------- %------初始格式化-------------------------------------------------- clear all; clc; format bank; %------定义全局变量-------------------
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www.eeworm.com/read/170265/5405668

java avoidmodule.java

package cie.mobile; import name.lxm.robot.arch.*; /** * This class is used to avoid obstacles while * keeping waling towards the destination. It has * two inputs: environment force and the
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www.eeworm.com/read/415663/11059466

m sim_obstacle.m

function sim_obstacle %DEPRECATED. DONT USE fn='sim_ob3.mat'; %fn='obstacle/sim_obstaclep-all.mat'; %get_raw_data(fn) process_data(fn) function generate return topology_generator('topo-obstacle-10-1.2
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www.eeworm.com/read/350131/10765131

m vehicledata.m

g=32.2; % gravity ft/s^2 global tau_t tau_b tau_n minimum_ac_dist minimum_obs_dist desired_vel global target_cone vel_ic global state_ic global rho S Cd0 k W global num_ac targets obstacles
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www.eeworm.com/read/199599/7843691

m obstaclefunction.m

% Obstacle function: % Author: K. Passino, Version: 1/25/01 function J=obstaclefunction(x,w1) % An example function to represent sensed obstacles: J=... w1*max([exp(-0.8*((x(1,1)-20)^2+(x(
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