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brne.yaml
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/**:
ros__parameters:
replan_freq: 10.0 # unit: Hz
dt: 0.1
maximum_agents: 5 # maximum number of agents BRNE will consider (including the robot)
n_samples: 196 # number of samples assigned to each agent. needs to be the square of an even number
n_steps: 25 # time steps of the planning horizon
# sampling and cost parameters
kernel_a1: 0.2 # control the "straightness" of trajectory samples. Larger the value is, less straight the trajectory sample will be.
kernel_a2: 0.2 # control the "width/spreadness" of trajectory samples. Larger the value is, more spread the trajectory samples are.
cost_a1: 15.0 # control the safety zone, smaller the value is, more conversative the robot will be.
cost_a2: 3.0 # control the safety zone, larger the value is, more conservative the robot will be.
cost_a3: 20.0 # control the safety penalty weight, larger the value is, more conservative the robot will be.
# robot specific parameters
max_lin_vel: 0.6 # 0.6,0.8 maximum linear velocity allowed on the robot
max_ang_vel: 1.0 # 1.0,1.2 maximum angular velocity allowed on the robot
nominal_lin_vel: 0.4 #0.4,0.5 nomimal (linear) velocity when plannig the initial trajectory
open_space_velocity: 0.6 # nominal velocity when the robot is in open space
# environment parameters
y_min: -0.6 # lower bound of y coordinate (one side of corridor)
y_max: 0.6 # upper bound of y coordinate (the other side of corridor)
# thresholds
people_timeout: 0.5 # unit: seconds. How long to keep seen pedestrians in the buffer
close_stop_threshold: 0.5 # threshold for safety mask, leading to "estop"
brne_activate_threshold: 6.0 # distance threshold from a pedestrian to enable BRNE
goal_threshold: 0.5 # threshold for reaching the goal position (m)
# currently unused:
ped_sample_scale: 0.1 # pedestrian's willingness for cooperation, default value is 1.0, the smaller it is, the less the robot would expect the pedestrians to make space for it