3 citations · 4 across the 9 of their papers we have counts for
12 papers
Jerk-limited Traversal of One-dimensional Paths and its Application to Multi-dimensional Path Tracking
Jonas C. Kiemel, Torsten Kröger
In this paper, we present an iterative method to quickly traverse multi-dimensional paths considering jerk constraints. As a first step, we analyze the traversal of each individual…
Reinforcement Learning for Safety Testing: Lessons from A Mobile Robot Case Study
Tom P. Huck, Martin Kaiser, Constantin Cronrath +3
Safety-critical robot systems need thorough testing to expose design flaws and software bugs which could endanger humans. Testing in simulation is becoming increasingly popular, as…
Uncertainty-aware Risk Assessment of Robotic Systems via Importance Sampling
Woo-Jeong Baek, Tom P. Huck, Joschka Haas +3
In this paper, we introduce a probabilistic approach to risk assessment of robot systems by focusing on the impact of uncertainties. While various approaches to identifying systema…
Safety Evaluation of Robot Systems via Uncertainty Quantification
Woo-Jeong Baek, Torsten Kröger
In this paper, we present an approach for quantifying the propagated uncertainty of robot systems in an online and data-driven manner. Especially in Human-Robot Collaboration, keep…
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…