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Robot Programming by Demonstration (PbD) aims at developing adaptive and robust controllers to enable the robot to learn new skills by observing and imitating a human demonstration. While the vast majority of PbD works focused on systems that learn a speci ...
This paper develops a general policy for learning relevant features of an imitation task. We restrict our study to imitation of manipulative tasks or of gestures. The imitation process is modeled as a hierarchical optimization system, which minimizes the d ...
This paper studies the effect of a robot’s design (appearance) in facilitating and encouraging interaction of children with autism with a small humanoid robot. The paper compares the children’s level of interaction with and response to the robot in two dif ...
In this paper, we introduce probabilistic framework for robust identification of the user goals in human-robot speech-based interaction. The concept of Bayesian networks is used for interpreting multimodal signals in the spoken dialogue between a tour-guid ...
This thesis aims at improving the perceptional side of interaction to enable the handling of more complex situations. For the Swiss National Exposition Expo.02 the robot RoboX and an event-driven interaction system have been designed by members of our lab. ...
Mobile robot localization deals with uncertain sensory information as well as uncertain data association. In this paper we present a probabilistic feature-based approach to global localization and pose tracking which explicitly addresses both problems. Loc ...
The swarm intelligence paradigm has proven to have very interesting properties such as robustness, flexibility and ability to solve complex problems exploiting parallelism and self-organization. Several robotics implementations of this paradigm confirm tha ...
This work is part of the Aurora project which investigates the possible use of robots in therapy and education of children with autism (Aurora 2003), based on findings that people with autism enjoy interacting with computers, e.g. (Powell, 1996). In most o ...
To fulfill a need for natural, user-friendly means of interacting and reprogramming toy and humanoid robots, a growing trend of robotics research investigates the integration of methods for gesture recognition and natural speech processing. Unfortunately, ...
In this paper we address the problem of inter-preting sensory data for human-robot interaction, especially when gathered from several robots at the same time. After describing motion tracking in this context, we introduce a general framework for situation ...
