Modelling and Simulation for Autonomous Systems

Future Challenges of Advanced M&S Technology.- Hyperbolic quantum computing based on quantum bit algebra QBA.- On Building Communication Maps in Subterranean Environments.- Combat UGVs support of company task force operations.- M&S driven experimentation for concept development on combined manned and unmanned vehicles in urban environment: simulation design.- UAV based Vehicle Detection with Synthetic Training: Identification of Performance Factors using Image Descriptors and Machine Learning.- Combining Epidemiological and Constructive Simulations for Robotics and Autonomous Systems supporting Logistic Supply in Infectious Diseases affected Areas.- M&S of Intelligent Systems – R&D and Application.- Numerical experiment on optimal control for the Dubins car model.- M&S based test bed to support V&V of Autonomous Resources Task Coordinator.- Replacement Possibilities of the Medium-Size Truck Transport Capabilities by UAVs in the Disturbed Logistics Infrastructure.- Experimental Leg Inverse Dynamics Learning of Multi-Legged Walking Robot.- Multi-UAV Mission Efficiency: First Results in an Agent-based Simulation.- The GRASP Metaheuristic for the Electric Vehicle Routing Problem.- Stereo Camera Simulation in Blender.- Vision-based Localization for Multi-rotor Aerial Vehicle in Outdoor Scenarios.- AxS/AI in Context of Future Warfare and Security Environment.- Model of Surveillance in Complex Environment using a Swarm of Unmanned Aerial Vehicles.- Initial Solution Constructors for Capacitated Green Vehicle Routing Problem.- Artificial Intelligence in the Defence Sector.- Artificial Intelligence and Robotics addressing COVID-19 Pandemic’s Challenges.- ORB-SLAM2 Based Teach-and-Repeat System.