3 citations · 4 across the 7 of their papers we have counts for
7 papers · 1 filter
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…
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…
Uncertainty Estimation for Safe Human-Robot Collaboration using Conservation Measures
Woo-Jeong Baek, Christoph Ledermann, Torsten Kröger
We present an online and data-driven uncertainty quantification method to enable the development of safe human-robot collaboration applications. Safety and risk assessment of syste…
TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space
Jonas C. Kiemel, Pascal Meißner, Torsten Kröger
We present TrueRMA, a data-efficient, model-free method to learn cost-optimized robot trajectories over a wide range of starting points and endpoints. The key idea is to calculate…
Referencing between a Head-Mounted Device and Robotic Manipulators
David Puljiz, Katharina S. Riesterer, Björn Hein +1
Having a precise and robust transformation between the robot coordinate system and the AR-device coordinate system is paramount during human-robot interaction (HRI) based on augmen…