Projects
News
People
Events
Publications
Light
Dark
Automatic
Training
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
State-of-the-art human-in-the-loop robot grasping is hugely suffered by Electromyography (EMG) inference robustness issues. As a …
Mohammadreza Sharif
,
Deniz Erdogmus
,
Christopher Amato
,
Taşkın Padır
Cite
DOI
Human-Humanoid Robot Interaction through Virtual Reality Interfaces
In the last decade, there have been great advancements in virtual reality (VR) resulting in its availability for everyday consumers. As …
Murphy Wonsick
,
Taşkın Padır
Cite
DOI
Cite
×