Abstract: The accuracy of the path tracking process of autonomous vehicles is influenced by the instability of a single controller, resulting in large tracking errors. To tackle this problem, this ...

Abstract: Model Predictive Path Integral control is a powerful sampling-based approach suitable for complex robotic tasks due to its flexibility in handling nonlinear dynamics and non-convex costs.

parser = argparse.ArgumentParser(description='Combine two datasets from pickle files.') parser.add_argument('--dataset1', type=str, help='Path to the first dataset ...

Control issues are rarely isolated; they often lead to quality losses, increased energy consumption, nuisance alarms, higher maintenance demands, and greater operator workload. This is precisely why ...

def Train_BC(smpc_config,config,policy,device,policy_type,l1_dual_dim,ca_dual_dim,l1_num,pred_mode): expert_data['optimal_duals'] = [acs for acs in expert_data ...

As AI server power requirements continue to increase, power system design is becoming more dependent on fast control loops, efficiency optimisation, and embedded security. Digital signal controllers ...