datetime:2025/12/21 16:00
author:nzb
本节内容
Python 脚本与 YAML 配置文件
import irsim
env = irsim.make()
for i in range(1000):
env.step()
env.render(0.05)
if env.done():
break
env.end()
world:
height: 10
width: 10
robot:
- kinematics: {name: 'diff'}
behavior: {name: 'dash'}
shape: {name: 'circle', radius: 0.2}
goal: [9, 9, 0]
sensors:
- name: 'lidar2d'
range_min: 0
range_max: 5
angle_range: 3.14
number: 200
noise: True
std: 0.1
angle_std: 0.2
offset: [0, 0, 0]
alpha: 0.3
obstacle:
- shape: {name: 'circle', radius: 1.0}
state: [5, 5, 0]
- shape: {name: 'rectangle', length: 1.5, width: 1.2}
state: [6, 5, 1]
- shape: {name: 'linestring', vertices: [[10, 5], [4, 0], [6, 7]]}
state: [0, 0, 0]
import irsim
env = irsim.make()
for i in range(200):
env.step()
for obs in env.obstacle_list:
if obs.fov_detect_object(env.robot):
print(f'The robot is in the FOV of the {obs.name}. The parameters of this obstacle are: state [x, y, theta]: {obs.state.flatten()}, velocity [linear, angular]: {obs.velocity.flatten()}, fov in radian: {obs.fov}.')
env.render(figure_kwargs={'dpi': 100})
env.end()
world:
height: 50
width: 50
step_time: 0.1
sample_time: 0.1
offset: [0, 0]
collision_mode: 'stop'
control_mode: 'auto'
robot:
- kinematics: {name: 'diff'}
shape: {name: 'circle', radius: 0.4}
state: [10, 10, 0, 0]
goal: [45, 45, 0]
goal_threshold: 0.4
vel_max: [3, 1]
vel_min: [-3, -1]
behavior: {name: 'dash', wander: True, range_low: [15, 15, -3.14], range_high: [35, 35, 3.14]}
plot:
show_goal: True
show_trajectory: True
obstacle:
- number: 10
distribution: {name: 'random', range_low: [10, 10, -3.14], range_high: [40, 40, 3.14]}
kinematics: {name: 'diff'}
behavior: {name: 'rvo', vxmax: 1.5, vymax: 1.5, acce: 1.0, factor: 2.0, mode: 'vo', wander: True, range_low: [15, 15, -3.14], range_high: [35, 35, 3.14], target_roles: 'all'}
vel_max: [3, 3.14]
vel_min: [-3, -3.14]
shape:
- {name: 'circle', radius: 0.5}
fov: 1.57
fov_radius: 5.0
plot:
show_fov: True
show_arrow: True
arrow_length: 0.8