Field theory is a more or less coherent approach in the social sciences whose essence is
the explanation of regularities in individual action by recourse to position vis-à-vis others …

In this paper, we introduce an approach for the efficient solution of motion-planning
problems for time-invariant dynamical control systems with symmetries, such as mobile …

The operation of an autonomous vehicle in an unknown, dynamic environment is a very
complex problem, especially when the vehicle is required to use its full maneuvering …

The invariant observer is a recently introduced constructive nonlinear design method for
symmetry-possessing systems such as the magnetometer-plus-global positioning system …

Safe handling of dynamic inner-city scenarios with autonomous road vehicles involves the
problem of stabilization of precalculated state trajectories. In order to account for the …

This research used an invariant extended Kalman filter (IEKF) for the navigation of an
unmanned aerial vehicle (UAV), and compared the properties and performance of this IEKF …

This work presents a novel method for 3-D path-following and path-tracking of Autonomous
Underwater Vehicles (AUVs) using the concept of a Virtual Reference Point (VRP) and a …

For dynamics x/spl dot/= f (x) with output y= h (x) invariant with respect to a transformation
group G, we define invariant asymptotic observer of the form x/spl circ//spl dot/= f/spl …

The problem of invariant output tracking is considered: given a control system admitting a
symmetry group G, design a feedback such that the closed-loop system tracks a desired …

Motion planning, ie, steering a system from one state to another, is a basic question in
automatic control. For a certain class of systems described by ordinary differential equations …