An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
Abstract— We describe how a graph grammar program for robotic self-assembly, together with measurements of kinetic rate data yield a Markov Process model of the dynamics of progr...
The actions of a robot like lifting an object are often best thought of as low-level processes with uncertain outcome. A highlevel robot plan can be seen as a description of a task...
The LEGO Mindstorms robots provide an excellent introductory platform for students to learn computer programming. However, a major drawback is students’ lack of access to robots...
We present a continuous time Bayesian network reasoning and learning engine (CTBN-RLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description of a co...
Christian R. Shelton, Yu Fan, William Lam, Joon Le...