Optimal navigation in complex environments is a problem with multiple applications ranging from designing efficient search strategies to engineering microscopic cargo delivery. When motion happens in presence of strong external forces, route optimization is particularly important as active particles may encounter trapping regions that would substantially slow down their progress. Here, considering a self-propelled agent moving at a constant speed, we study the efficiency of Zermelo’s classical solution for navigation in a sinusoidal potential landscape. Investigating both cases of motion on the plane and on curved surfaces, we focus on the regime where the external force exceeds self-propulsion in finite regions. There, we show that, despit...
This dissertation studies optimal exploration, defined as the collection of information about given ...
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The ability to navigate safely and efficiently through a given landscape is relevant for any intelli...
The quest for the optimal navigation strategy in a complex environment is at the heart of microswimm...
We experimentally and numerically study the dependence of different navigation strategies regarding ...
We design new navigation strategies for travel time optimization of microscopic self-propelled parti...
The solution to the problem of finding a time-optimal control Hamiltonian to generate a given unitar...
We formulate the theory for steering an active particle with optimal travel time between two locatio...
The development of self-propelled particles at the micro- and the nanoscale has sparked a huge poten...
In this article motivated by physical applications, the Zermelo navigation problem on the two-dimens...
Contrasting the well explored problem on how to steer a macroscopic agent like an airplane or a moon...
This paper characterizes time-optimal trajectories in anisotropic (direction-dependent) environ-ment...
Given a convex quadratic potential of which its minimum is the agent's goal and a Euclidean space po...
The properties of a cognitive, self-propelled, and self-steering particle in the presence of a stati...
This dissertation focuses on the problem of motion planning for autonomous agents that are required ...
This dissertation studies optimal exploration, defined as the collection of information about given ...
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The ability to navigate safely and efficiently through a given landscape is relevant for any intelli...
The quest for the optimal navigation strategy in a complex environment is at the heart of microswimm...
We experimentally and numerically study the dependence of different navigation strategies regarding ...
We design new navigation strategies for travel time optimization of microscopic self-propelled parti...
The solution to the problem of finding a time-optimal control Hamiltonian to generate a given unitar...
We formulate the theory for steering an active particle with optimal travel time between two locatio...
The development of self-propelled particles at the micro- and the nanoscale has sparked a huge poten...
In this article motivated by physical applications, the Zermelo navigation problem on the two-dimens...
Contrasting the well explored problem on how to steer a macroscopic agent like an airplane or a moon...
This paper characterizes time-optimal trajectories in anisotropic (direction-dependent) environ-ment...
Given a convex quadratic potential of which its minimum is the agent's goal and a Euclidean space po...
The properties of a cognitive, self-propelled, and self-steering particle in the presence of a stati...
This dissertation focuses on the problem of motion planning for autonomous agents that are required ...
This dissertation studies optimal exploration, defined as the collection of information about given ...
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The ability to navigate safely and efficiently through a given landscape is relevant for any intelli...