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» Modeling task experience in user assistance systems
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CHI
2009
ACM
16 years 7 months ago
Tactile motion instructions for physical activities
While learning new motor skills, we often rely on feedback from a trainer. Auditive feedback and demonstrations are used most frequently, but in many domains they are inappropriat...
Daniel Spelmezan, Mareike Jacobs, Anke Hilgers, Ja...
TSMC
2010
15 years 1 months ago
Interactive Teaching for Vision-Based Mobile Robots: A Sensory-Motor Approach
Abstract--For the last decade, we have developed a visionbased architecture for mobile robot navigation. Our bio-inspired model of the navigation has proved to achieve sensory-moto...
Christophe Giovannangeli, Philippe Gaussier
ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
15 years 5 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...
CHI
2005
ACM
16 years 7 months ago
Smart sinks: real-world opportunities for context-aware interaction
Can implicit interaction with a computer easily drive useful interface improvements in physical world settings? This paper presents a case study presenting multiple such context-a...
Leonardo Bonanni, Ernesto Arroyo, Chia-Hsun Lee, T...
IROS
2008
IEEE
185views Robotics» more  IROS 2008»
16 years 1 months ago
A clickable world: Behavior selection through pointing and context for mobile manipulation
— We present a new behavior selection system for human-robot interaction that maps virtual buttons overlaid on the physical environment to the robot’s behaviors, thereby creati...
Hai Nguyen, Advait Jain, Cressel D. Anderson, Char...