Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...
— A generalized kinematic modeling framework, called Mechanism_Model, has been developed for use in the CLARAty robotic reusable software. Mechanism_Model supports a wide range o...
A primary goal of generative programming and model-driven ent is to raise the level of abstraction at which designers and developers interact with the software systems they are bui...
To achieve complex missions an autonomous unmanned aerial vehicle (UAV) operating in dynamic environments must have and maintain situational awareness. This can be achieved by cont...