𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Robot learning from demonstration

✍ Scribed by Aude Billard; Roland Siegwart


Book ID
108260022
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
47 KB
Volume
47
Category
Article
ISSN
0921-8890

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


A behavior-based mobile robot architectu
✍ Michael Kasper; Gernot Fricke; Katja Steuernagel; Ewald von Puttkamer πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 609 KB

Autonomous mobile robots (AMRs), to be truly flexible, should be equipped with learning capabilities, which allow them to adapt effectively to a dynamic and changing environment. This paper proposes a modular, behavior-based control architecture, which is particularly suited for "Learning from Demon

Communication and knowledge sharing in h
✍ Nathan Koenig; Leila Takayama; Maja MatariΔ‡ πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier Science 🌐 English βš– 662 KB

Inexpensive personal robots will soon become available to a large portion of the population. Currently, most consumer robots are relatively simple single-purpose machines or toys. In order to be cost effective and thus widely accepted, robots will need to be able to accomplish a wide range of tasks

Robust trajectory learning and approxima
✍ J. Aleotti; S. Caselli πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 674 KB

Trajectory learning is a fundamental component in a robot Programming by Demonstration (PbD) system, where often the very purpose of the demonstration is to teach complex manipulation patterns. However, human demonstrations are inevitably noisy and inconsistent. This paper highlights the trajectory