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Achieving safe navigation in dynamic environments is possible even with unknown system dynamics and limited actuator inputs, thanks to a novel control framework that respects constraints.
Ensuring that system trajectories satisfy complex temporal logic specifications while navigating input constraints could revolutionize control strategies for unknown nonlinear systems.
Treating demonstrations as safety specifications allows STT-LfD to achieve robust control without the need for system identification, outperforming traditional methods.
Achieve robust trajectory tracking and moving obstacle avoidance for diverse mobile robots, including Ackermann-steered vehicles, by combining sliding mode control with a novel collision cone control barrier function.