A recent trend in industrial robotics is to have robotic manipulators working side-by-side with
human operators. A challenging aspect of this coexistence is that the robot is required to …

Algal communities are robust indicators of the effect and impact of environmental flows on
river-dependent ecosystems as they deflect directly and indirectly those physical chemical …

This article introduces a novel feasibility governor (FG), which enlarges the region of
attraction (ROA) of a nonlinear model predictive control (NMPC) setpoint regulation law with …

This paper offers a practical method for certifiably safe operations of an unmanned aerial
vehicle (UAV) with limited power and computation, useful for real-time operations where the …

This paper tackles the constrained control problem of unmanned aerial vehicles with planar
multirotors. The proposed solution splits the constrained control problem into two separate …

This letter proposes a reactive, safe, and high-performance distributed constrained control
law for ensuring safety in multi-UAV systems. The UAVs possess higher-order nonlinear …

A distributed short-term predictive control method is proposed to be applied to autonomous
underwater vehicle (AUV) clusters for underwater cooperative hunting tasks. To support …

We propose a motion planner for quadrotors implemented as a search on a graph
constructed from robust positively invariant (PI) sets. We model the position error dynamics …

We propose a motion planner for quadrotor unmanned aerial vehicles (UAVs) implemented
as a graph search over robust positive invariant (PI) sets. We model the positional error …

This paper presents two constraint management strategies based on Reference Governors
(RG) to enforce output and state constraints on nonlinear dynamics of quadcopter drones …