Evaluating natural language understanding services for conversational question answering systems
Conversational interfaces recently gained a lot of attention. One of the reasons for the
current hype is the fact that chatbots (one particularly popular form of conversational …
current hype is the fact that chatbots (one particularly popular form of conversational …
Training agents with interactive reinforcement learning and contextual affordances
In the future, robots will be used more extensively as assistants in home scenarios and must
be able to acquire expertise from trainers by learning through crossmodal interaction. One …
be able to acquire expertise from trainers by learning through crossmodal interaction. One …
Interactive reinforcement learning through speech guidance in a domestic scenario
Recently robots are being used more frequently as assistants in domestic scenarios. In this
context we train an apprentice robot to perform a cleaning task using interactive …
context we train an apprentice robot to perform a cleaning task using interactive …
The impact of personalisation on human-robot interaction in learning scenarios
N Churamani, P Anton, M Brügger… - Proceedings of the 5th …, 2017 - dl.acm.org
Advancements in Human-Robot Interaction involve robots being more responsive and
adaptive to the human user they are interacting with. For example, robots model a …
adaptive to the human user they are interacting with. For example, robots model a …
Enhanced robot speech recognition using biomimetic binaural sound source localization
J Dávila-Chacón, J Liu… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Inspired by the behavior of humans talking in noisy environments, we propose an embodied
embedded cognition approach to improve automatic speech recognition (ASR) systems for …
embedded cognition approach to improve automatic speech recognition (ASR) systems for …
[HTML][HTML] Emergence of multimodal action representations from neural network self-organization
The integration of multisensory information plays a crucial role in autonomous robotics to
forming robust and meaningful representations of the environment. In this work, we …
forming robust and meaningful representations of the environment. In this work, we …
An immersive investment game to study human-robot trust
S Zörner, E Arts, B Vasiljevic, A Srivastava… - Frontiers in Robotics …, 2021 - frontiersin.org
As robots become more advanced and capable, developing trust is an important factor of
human-robot interaction and cooperation. However, as multiple environmental and social …
human-robot interaction and cooperation. However, as multiple environmental and social …
Multi-modal feedback for affordance-driven interactive reinforcement learning
Interactive reinforcement learning (IRL) extends traditional reinforcement learning (RL) by
allowing an agent to interact with parent-like trainers during a task. In this paper, we present …
allowing an agent to interact with parent-like trainers during a task. In this paper, we present …
Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario
Robots in domestic environments are receiving more attention, especially in scenarios
where they should interact with parent-like trainers for dynamically acquiring and refining …
where they should interact with parent-like trainers for dynamically acquiring and refining …
Unmanned aerial vehicle control through domain-based automatic speech recognition
Currently, unmanned aerial vehicles, such as drones, are becoming a part of our lives and
extend to many areas of society, including the industrialized world. A common alternative for …
extend to many areas of society, including the industrialized world. A common alternative for …