67 citations · 255 across the 19 of their papers we have counts for
5 papers · 1 filter
Applying Domain Randomization to Synthetic Data for Object Category Detection
João Borrego, Atabak Dehban, Rui Figueiredo +3
Recent advances in deep learning-based object detection techniques have revolutionized their applicability in several fields. However, since these methods rely on unwieldy and larg…
Automatic generation of object shapes with desired functionalities
Mihai Andries, Atabak Dehban, José Santos-Victor
3D objects (artefacts) are made to fulfill functions. Designing an object often starts with defining a list of functionalities that it should provide, also known as functional requ…
Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots
Giovanni Saponaro, Pedro Vicente, Atabak Dehban +3
One of the open challenges in designing robots that operate successfully in the unpredictable human environment is how to make them able to predict what actions they can perform on…
Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction
Paul Schydlo, Mirko Rakovic, Lorenzo Jamone +1
Close human-robot cooperation is a key enabler for new developments in advanced manufacturing and assistive applications. Close cooperation require robots that can predict human ac…
Action Anticipation: Reading the Intentions of Humans and Robots
Nuno Ferreira Duarte, Jovica Tasevski, Moreno Coco +3
Humans have the fascinating capacity of processing non-verbal visual cues to understand and anticipate the actions of other humans. This "intention reading" ability is underpinned…