23 citations · 53 across the 7 of their papers we have counts for
7 papers
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…
Learning Time-optimized Path Tracking with or without Sensory Feedback
Jonas C. Kiemel, Torsten Kröger
In this paper, we present a learning-based approach that allows a robot to quickly follow a reference path defined in joint space without exceeding limits on the position, velocity…
Testing Robot System Safety by creating Hazardous Human Worker Behavior in Simulation
Tom P. Huck, Christoph Ledermann, Torsten Kröger
We introduce a novel simulation-based approach to identify hazards that result from unexpected worker behavior in human-robot collaboration. Simulation-based safety testing must ta…
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…
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
Jonas C. Kiemel, Torsten Kröger
This paper presents an approach for learning online generation of collision-free and torque-limited robot trajectories. In order to generate future motions, a neural network is per…
Virtual Adversarial Humans finding Hazards in Robot Workplaces
Tom P. Huck, Christoph Ledermann, Torsten Kröger
During the planning phase of industrial robot workplaces, hazard analyses are required so that potential hazards for human workers can be identified and appropriate safety measures…