17 citations · 19 across the 3 of their papers we have counts for
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Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter
Pooya Abolghasemi, Ladislau Bölöni
Recent research demonstrated that it is feasible to end-to-end train multi-task deep visuomotor policies for robotic manipulation using variations of learning from demonstration (L…
Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention
Pooya Abolghasemi, Amir Mazaheri, Mubarak Shah +1
Several recent studies have demonstrated the promise of deep visuomotor policies for robot manipulator control. Despite impressive progress, these systems are known to be vulnerabl…
From virtual demonstration to real-world manipulation using LSTM and MDN
Rouhollah Rahmatizadeh, Pooya Abolghasemi, Aman Behal +1
Robots assisting the disabled or elderly must perform complex manipulation tasks and must adapt to the home environment and preferences of their user. Learning from demonstration i…