5 papers · 1 filter
Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach
Muhan Hou, Koen Hindriks, A. E. Eiben +1
Transfer Learning (TL) is a powerful tool that enables robots to transfer learned policies across different environments, tasks, or embodiments. To further facilitate this process,…
Active Robot Curriculum Learning from Online Human Demonstrations
Muhan Hou, Koen Hindriks, A. E. Eiben +1
Learning from Demonstrations (LfD) allows robots to learn skills from human users, but its effectiveness can suffer due to sub-optimal teaching, especially from untrained demonstra…
What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations
Merle M. Reimann, Koen V. Hindriks, Florian A. Kunneman +3
When encountering a robot in the wild, it is not inherently clear to human users what the robot's capabilities are. When encountering misunderstandings or problems in spoken intera…
Spectral oversubtraction? An approach for speech enhancement after robot ego speech filtering in semi-real-time
Yue Li, Koen V. Hindriks, Florian A. Kunneman
Spectral subtraction, widely used for its simplicity, has been employed to address the Robot Ego Speech Filtering (RESF) problem for detecting speech contents of human interruption…
Single-Channel Robot Ego-Speech Filtering during Human-Robot Interaction
Yue Li, Koen V Hindriks, Florian Kunneman
In this paper, we study how well human speech can automatically be filtered when this overlaps with the voice and fan noise of a social robot, Pepper. We ultimately aim for an HRI…