37 citations · 122 across the 24 of their papers we have counts for
5 papers · 1 filter
Learning to Pick at Non-Zero-Velocity from Interactive Demonstrations
Anna Mészáros, Giovanni Franzese, Jens Kober
This work investigates how the intricate task of a continuous pick & place (P&P) motion may be learned from humans based on demonstrations and corrections. Due to the complexity of…
Challenges and Outlook in Robotic Manipulation of Deformable Objects
Jihong Zhu, Andrea Cherubini, Claire Dune +10
Deformable object manipulation (DOM) is an emerging research problem in robotics. The ability to manipulate deformable objects endows robots with higher autonomy and promises new a…
ILoSA: Interactive Learning of Stiffness and Attractors
Giovanni Franzese, Anna Mészáros, Luka Peternel +1
Teaching robots how to apply forces according to our preferences is still an open challenge that has to be tackled from multiple engineering perspectives. This paper studies how to…
GEM: Glare or Gloom, I Can Still See You -- End-to-End Multimodal Object Detection
Osama Mazhar, Robert Babuska, Jens Kober
Deep neural networks designed for vision tasks are often prone to failure when they encounter environmental conditions not covered by the training data. Single-modal strategies are…
Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions
Osama Mazhar, Jens Kober
In this paper, we propose a new data augmentation method, Random Shadows and Highlights (RSH) to acquire robustness against lighting perturbations. Our method creates random shadow…