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We tackle the problem of flying time-optimal trajectories through multiple waypoints with quadrotors. State-of-the-art solutions split the problem into a pla
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Residual dynamics learning for trajectory tracking for multi-rotor aerial vehicles
Robert Pěnička hat etwas auf LinkedIn gepostet
NeuroBEM: Hybrid Aerodynamic Quadrotor Model (RSS 2021)
PDF] Model Predictive Contouring Control for Time-Optimal Quadrotor Flight
CMPCC: Corridor-based Model PredictiveContouring Control for Aggressive Drone Flight
A Dual-Layer Network Deep Reinforcement Learning Algorithm for Multi-objective Signal Temporal Logic Tasks
Residual dynamics learning for trajectory tracking for multi-rotor aerial vehicles
PDF) A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight
PDF] Model Predictive Contouring Control for Time-Optimal Quadrotor Flight
PDF) Time-Optimal Online Replanning for Agile Quadrotor Flight
PDF) Model Predictive Contouring Control for Near-Time-Optimal Quadrotor Flight