%0 Generic
%A Baglioni, Mirko
%D 2025
%T Tables with parameters values underlying the publication: Enabling Robots to Autonomously Search Dynamic Cluttered Post-Disaster Environments
%U 
%R 10.4121/aa7528da-0986-453c-b196-4277a2db4daa.v1
%K Model predictive control
%K Tube-based model predictive control
%K Robust control
%K Robot path planning
%K Dynamic obstacle avoidance
%K Robots in search and rescue operations
%K Disaster robotics
%X <p>This dataset contains the tables with the values of the parameters of the robot controller and the environment of simulated search-and-rescue scenarios.</p><p><br></p><p>The parameters of the simulations consider three different approaches of the robot controller, for comparison purposes: </p><p><br></p><p>1) parameters_of_MPC_controller.pdf for our proposed <strong>MPC-based control</strong> approach (see 'Resource DOI' of the 4TU.ResearchData repository at 10.4121/aa7528da-0986-453c-b196-4277a2db4daa);</p><p>2) parameters_of_HL-RRTstar_controller.pdf for <strong>HL-RRT*</strong> approach; </p><p>3) parameters_of_APF_controller.pdf for <strong>COLREGS APF</strong> approach.</p><p><br></p><p>In addition, the table simulation_variables_of_random_environments.pdf consists of values of parameters that are used in simulations of each of the three controllers, where applicable.</p><p><br></p><p>The files obstacle_initial_conditions_simple_simulation_X.csv (with X from 1 to 10) contain the initial conditions for the static and dynamic obstacles in the 10 different simulated scenarios. Furthermore, the file obstacle_initial_conditions_cluttered_scenario.csv contains the initial conditions for the static and dynamic obstacles in the simulated cluttered scenario. All these 11 tables contain values in meters.</p>
%I 4TU.ResearchData