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Aerial manipulation is fundamentally different from classical manipulation, revealing a complex interplay between robots and their fluid environments that challenges traditional design paradigms.
Improved constraint margins under parametric uncertainty lead to tracking performance that rivals traditional NMPC methods, even in challenging aerial maneuvers.
Orthogonal manifold-derived control allocation can completely avoid geometric rank-loss and boundary-crossing singularities in signed-quadratic actuation systems, unlike classical pseudo-linear methods.
Tilting your drone's propellers isn't just for agility – it can be a game-changer for maintaining comms under jamming attacks, boosting link reliability by orders of magnitude.
