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» Opportunity Recognition in Complex Environments
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AGENTS
1999
Springer
14 years 11 hour ago
Exception Handling in Agent Systems
A critical challenge to creating effective agent-based systems is allowing them to operate effectively when the operating environment is complex, dynamic, and error-prone. In this...
Mark Klein, Chrysanthos Dellarocas
AGENTS
1999
Springer
14 years 11 hour ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
ISER
1993
Springer
123views Robotics» more  ISER 1993»
13 years 11 months ago
Mobile Robot Miniaturisation: A Tool for Investigation in Control Algorithms
The interaction of an autonomous mobile robot with the real world critically depends on the robots morphology and on its environment. Building a model of these aspects is extremel...
Francesco Mondada, Edoardo Franzi, Paolo Ienne
CVPR
2009
IEEE
15 years 2 months ago
Recognizing Indoor Scenes
We propose a scheme for indoor place identi cation based on the recognition of global scene views. Scene views are encoded using a holistic representation that provides low-resolu...
Antonio B. Torralba, Ariadna Quattoni
ICRA
2009
IEEE
123views Robotics» more  ICRA 2009»
14 years 2 months ago
Realtime segmentation of range data using continuous nearest neighbors
— In mobile robotics, the segmentation of range data is an important prerequisite to object recognition and environment understanding. This paper presents an algorithm for realti...
Klaas Klasing, Dirk Wollherr, Martin Buss