1 citations · 1 across the 1 of their papers we have counts for
4 papers
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping
Marc Tuscher, Julian Hörz, Danny Driess +1
Robotic manipulation of unknown objects is an important field of research. Practical applications occur in many real-world settings where robots need to interact with an unknown en…
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image
Danny Driess, Jung-Su Ha, Marc Toussaint
In this paper, we propose a deep convolutional recurrent neural network that predicts action sequences for task and motion planning (TAMP) from an initial scene image. Typical TAMP…
Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty
Jung-Su Ha, Danny Driess, Marc Toussaint
Logic-Geometric Programming (LGP) is a powerful motion and manipulation planning framework, which represents hierarchical structure using logic rules that describe discrete aspects…
Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning
Marc Toussaint, Jung-Su Ha, Danny Driess
Physical reasoning is a core aspect of intelligence in animals and humans. A central question is what model should be used as a basis for reasoning. Existing work considered models…