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AAAI
2000
13 years 5 months ago
Multi-Fidelity Robotic Behaviors: Acting with Variable State Information
Our work is driven by one of the core purposes of artificial intelligence: to develop real robotic agents that achieve complex high-level goals in real-time environments. Robotic ...
Elly Winner, Manuela M. Veloso
IROS
2007
IEEE
100views Robotics» more  IROS 2007»
13 years 10 months ago
Incremental behavior acquisition based on reliability of observed behavior recognition
— We propose a novel approach for acquisition and development of behaviors through observation in multi-agent environment. Observed behaviors of others give fruitful hints for a ...
Tomoki Nishi, Yasutake Takahashi, Minoru Asada
AIPS
2000
13 years 5 months ago
Vision-Servoed Localization and Behavior-Based Planning for an Autonomous Quadruped Legged Robot
Planning for real robots to act in dynamic and uncertain environments is a challenging problem. A complete model of the world is not viable and an integration of deliberation and ...
Manuela M. Veloso, Elly Winner, Scott Lenser, Jame...
ISRR
2001
Springer
109views Robotics» more  ISRR 2001»
13 years 9 months ago
Probabilistic Adaptive Agent Based System for Dynamic State Estimation using Multiple Visual Cues
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
Alvaro Soto, Pradeep K. Khosla
AAAI
2006
13 years 5 months ago
Collective Construction Using Lego Robots
hibition: Extended Abstract Social insects, such as ants and termites, collectively build large and complex structures, with many individuals following simple rules and no centrali...
Crystal Schuil, Matthew Valente, Justin Werfel, Ra...