— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
The dynamics of ligand-protein interactions are necessary to understand for the design of novel therapeutic agents. In this paper, we establish the use of Stochastic Roadmap Simul...
Mehmet Serkan Apaydin, Carlos Guestrin, Chris Varm...
More and more of our customers have to deal with very large datasets like elevation data and digital roadmaps covering Europe or even the entire world, very large images e.g. from...
Abstract— Sampling-based algorithms have dramatically improved the state of the art in robotic motion planning. However, they make restrictive assumptions that limit their applic...
: This paper examines possibilities and consequences of introducing variability with respect to pricing, accounting, and way of payment into software product lines for developers, ...