2 citations · 5 across the 3 of their papers we have counts for
3 papers
Learning and Inference of Dexterous Grasps for Novel Objects with Underactuated Hands
Marek Kopicki, Carlos J. Rosales, Hamal Marino +2
Recent advances have been made in learning of grasps for fully actuated hands. A typical approach learns the target locations of finger links on the object. When a new object must…
Towards Deep Compositional Networks
Domen Tabernik, Matej Kristan, Jeremy L. Wyatt +1
Hierarchical feature learning based on convolutional neural networks (CNN) has recently shown significant potential in various computer vision tasks. While allowing high-quality di…
KR: An Architecture for Knowledge Representation and Reasoning in Robotics
Shiqi Zhang, Mohan Sridharan, Michael Gelfond +1
This paper describes an architecture that combines the complementary strengths of declarative programming and probabilistic graphical models to enable robots to represent, reason w…