In this paper we present an approach to obstacle avoidance and local path planning for polygonal robots. It decomposes the task into a model stage and a planning stage. The model ...
Kai Oliver Arras, Jan Persson, Nicola Tomatis, Rol...
This paper presents a unified approach to Chinese statistical language modeling (SLM). Applying SLM techniques like trigram language models to Chinese is challenging because (1) t...
In this paper we present a new probabilistic feature-based approach to multi-hypothesis global localization and pose tracking. Hypotheses are generated using a constraintbased sea...
Object-oriented programming, design patterns, and frameworks are common techniques that have been used to reduce the complexity of sequential programming. We have applied these te...
John Anvik, Steve MacDonald, Duane Szafron, Jonath...
With the term flexibility, we introduce a new design dimension of an embedded system that quantitatively characterizes its feasibility in implementing not only one, but possibly ...