Add to ORKGAbstract—This paper presents an algorithm to bootstrap shared understanding in a human-robot interaction scenario where the user teaches a robot a new task using teaching instructions yet unknown to it. In such cases, the robot needs to estimate simultaneously what the task is and the associated meaning of instructions received from the user. For this work, we consider a scenario where a human teacher uses initially unknown spoken words, whose associated unknown meaning is either a feedback (good/bad) or a guidance (go left, right,...). We present computational results, within an inverse reinforcement learning framework, showing that a) it is possible to learn the meaning of unknown and noisy teaching instructions, as well as a new task at ...
Some imitation learning approaches rely on Inverse Reinforcement Learning (IRL) methods, to decode a...
Humans can leverage physical interaction to teach robot arms. This physical interaction takes multip...
As robots become a mass consumer product, they will need to learn new skills by interacting with typ...
International audienceThis paper presents an algorithm to bootstrap shared understanding in a human-...
International audienceIn this paper, we propose a framework that enables a human teacher to shape a ...
Abstract — We present a system to learn task representations from ambiguous feedback. We consider an...
The high request for autonomous human-robot interaction (HRI), combined with the potential of machin...
AbstractWhile Reinforcement Learning (RL) is not traditionally designed for interactive supervisory ...
Robot assistants need to interact with people in a natural way in order to be accepted into people’s...
International audienceAt home, workplaces or schools, an increasing amount of intelligent robotic sy...
International audienceAt home, workplaces or schools, an increasing amount of intelligent robotic sy...
Abstract—Human–agent interaction is a growing area of re-search; there are many approaches that addr...
Robot assistants need to interact with people in a natural way in order to be accepted into people’s...
As robots continue to acquire useful skills, their ability to teach their expertise will provide hum...
This chapter surveys the main approaches developed to date to endow robots with the ability to learn...
Some imitation learning approaches rely on Inverse Reinforcement Learning (IRL) methods, to decode a...
Humans can leverage physical interaction to teach robot arms. This physical interaction takes multip...
As robots become a mass consumer product, they will need to learn new skills by interacting with typ...
International audienceThis paper presents an algorithm to bootstrap shared understanding in a human-...
International audienceIn this paper, we propose a framework that enables a human teacher to shape a ...
Abstract — We present a system to learn task representations from ambiguous feedback. We consider an...
The high request for autonomous human-robot interaction (HRI), combined with the potential of machin...
AbstractWhile Reinforcement Learning (RL) is not traditionally designed for interactive supervisory ...
Robot assistants need to interact with people in a natural way in order to be accepted into people’s...
International audienceAt home, workplaces or schools, an increasing amount of intelligent robotic sy...
International audienceAt home, workplaces or schools, an increasing amount of intelligent robotic sy...
Abstract—Human–agent interaction is a growing area of re-search; there are many approaches that addr...
Robot assistants need to interact with people in a natural way in order to be accepted into people’s...
As robots continue to acquire useful skills, their ability to teach their expertise will provide hum...
This chapter surveys the main approaches developed to date to endow robots with the ability to learn...
Some imitation learning approaches rely on Inverse Reinforcement Learning (IRL) methods, to decode a...
Humans can leverage physical interaction to teach robot arms. This physical interaction takes multip...
As robots become a mass consumer product, they will need to learn new skills by interacting with typ...
