𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Programming Autonomous Robots in Curry

✍ Scribed by Michael Hanus; Klaus Höppner

Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
231 KB
Volume
76
Category
Article
ISSN
1571-0661

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Cognitive concepts in autonomous soccer
Cognitive concepts in autonomous soccer playing robots
✍ Martin Lauer; Roland Hafner; Sascha Lange; Martin Riedmiller 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 791 KB

Computational concepts of cognition, their implementation in complex autonomous systems, and their empirical evaluation are key techniques to understand and validate concepts of cognition and intelligence. In this paper we want to describe computational concepts of cognition that were successfully i

Grounding communication in autonomous ro
Grounding communication in autonomous robots: An experimental study
✍ Aude Billard; Kerstin Dautenhahn 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 758 KB

This paper reports on experiments in which a physical autonomous robot is taught a basic vocabulary concerning objects in its close environment. Teaching is provided in one case by a second teacher robot and in another case by a human teacher. An imitative strategy, namely mutual following, is used

Explicit programming languages in indust
Explicit programming languages in industrial robots
✍ Giuseppina Gini; Maria Gini 📂 Article 📅 1983 🏛 Society of Manufacturing Engineers 🌐 English ⚖ 606 KB

This paper discusses issues of design for software systems for cohaputer controlled manipulators. A short review of the features which have become important in present software systems for industrial applications is presented, including how various desirable system capabilities can be introduced at

Evolution of spiking neural circuits in
Evolution of spiking neural circuits in autonomous mobile robots
✍ Dario Floreano; Yann Epars; Jean-Christophe Zufferey; Claudio Mattiussi 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 341 KB

We describe evolution of spiking neural architectures to control navigation of autonomous mobile robots. Experimental results with simple fitness functions indicate that evolution can rapidly generate spiking circuits capable of navigating in textured environments with simple genetic representations