In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
When a lack of data inhibits decision making, large scale what-if queries can be conducted over the uncertain parameter ranges. Such what-if queries can generate an overwhelming a...
The Constraint-Based Agent (CBA) framework is a set of tools for designing, simulating, building, verifying, optimizing, learning and debugging controllers for agents embedded in a...
This work presents a new diagnosis method for use in an adaptive analog tester. The tester is able to detect faults in any linear circuit by learning a reference behavior in a fir...
Interactive experiences benefit from natural interactions, compelling communication, and ease of implementation. We show how, according to these principles, interactive media arch...
Flavia Sparacino, Glorianna Davenport, Alex Pentla...