Behaviors.ai targets to transfer fundamental research results, especially in developmental learning, to mass-market applications in robots. The team research focuses on the understanding of the interactional context and on providing an appropriate and accurate response.
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The objectives of Behaviors.ai are to improve the context perception and the accuracy of the given response to provide more empathic human-robots interactions. This research project targets to develop an interactional engine that will include some of the state of the art methods and new innovative solutions, especially based on promising results in developmental learning and in cognitive robotics. It is part of the innovative development of Hoomano consisting in providing generic tools that can be deployed on any robotic platform to become a standard engine on the market. In addition to technical issues related to the diversity of robotic platforms, this objective raises a key research challenge: the engine has to be able to adapt dynamically to the interaction capabilities of the robot and to mature continuously depending on the effective and interesting interactions with its environment.
The objectives of Behaviors.ai are to improve the context perception and the accuracy of the given response to provide more empathic human-robots interactions. This research project targets to develop an interactional engine that will include some of the state of the art methods and new innovative solutions, especially based on promising results in developmental learning and in cognitive robotics.
