23 citations · 33 across the 9 of their papers we have counts for
3 papers · 1 filter
Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation
Lars Berscheid, Pascal Meißner, Torsten Kröger
Robot learning of real-world manipulation tasks remains challenging and time consuming, even though actions are often simplified by single-step manipulation primitives. In order to…
Jerk-limited Real-time Trajectory Generation with Arbitrary Target States
Lars Berscheid, Torsten Kröger
We present Ruckig, an algorithm for Online Trajectory Generation (OTG) respecting third-order constraints and complete kinematic target states. Given any initial state of a system…
Robot Learning of 6 DoF Grasping using Model-based Adaptive Primitives
Lars Berscheid, Christian Friedrich, Torsten Kröger
Robot learning is often simplified to planar manipulation due to its data consumption. Then, a common approach is to use a fully-convolutional neural network to estimate the reward…