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ICML
2010
IEEE
15 years 12 days ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
ECAI
2000
Springer
15 years 3 months ago
The Emergence of Grammar in Communicating Autonomous Robotic Agents
Abstract. Over the past five years, the topic of the origins of language is gaining prominence as one of the big unresolved questions of cognitive science. Artificial Intelligenc...
Luc Steels
AI50
2006
15 years 3 months ago
AI in Locomotion: Challenges and Perspectives of Underactuated Robots
Abstract. This article discusses the issues of adaptive autonomous navigation as a challenge of artificial intelligence. We argue that, in order to enhance the dexterity and adapti...
Fumiya Iida, Rolf Pfeifer, André Seyfarth
FLAIRS
1998
15 years 21 days ago
A Hierarchical Shape Representation for Vision-Guided Robotics
Using an adequate representation is often the key to solve complex problems in Artificial Intelligence. Hierarchical shape representations are very convenient in domains -such as ...
Begoña Martínez-Salvador, Angel P. D...
ICTAI
2005
IEEE
15 years 5 months ago
Applying a Taxonomy of Formation Control in Developing a Robotic System
Designing cooperative multi-robot systems (MRS) requires expert knowledge both in control and artificial intelligence. Formation control is an important research within the resea...
Harry Chia-Hung Hsu, Alan Liu