16 citations · 28 across the 10 of their papers we have counts for
3 papers · 1 filter
Robotic Occlusion Reasoning for Efficient Object Existence Prediction
Mengdi Li, Cornelius Weber, Matthias Kerzel +4
Reasoning about potential occlusions is essential for robots to efficiently predict whether an object exists in an environment. Though existing work shows that a robot with active…
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks
Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber +2
Speech emotion recognition (SER) is an important aspect of effective human-robot collaboration and received a lot of attention from the research community. For example, many neural…
EmoRL: Continuous Acoustic Emotion Classification using Deep Reinforcement Learning
Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber +2
Acoustically expressed emotions can make communication with a robot more efficient. Detecting emotions like anger could provide a clue for the robot indicating unsafe/undesired sit…