Subterranean MAV Navigation based on Nonlinear MPC with Collision Avoidance Constraints
Sina Sharif Mansouri, Christoforos Kanellakis, Emil Fresk, Bjorn Lindqvist, Dariusz Kominiak, Anton Koval, Pantelis Sopasakis, George Nikolakopoulos
International Federation of Automatic Control (IFAC), Berlin, 2020
Micro Aerial Vehicles (MAVs) navigation in subterranean environments is gaining attention in the field of aerial robotics, however there are still multiple challenges for collision free navigation in such harsh environments. This article proposes a novel baseline solution for collision free navigation with Nonlinear Model Predictive Control (NMPC). In the proposed method, the MAV is considered as a floating object, where the velocities on the x,