6 citations · 12 across the 10 of their papers we have counts for
10 papers
Bootstrapping Self-Supervised Learning of Binary Classification Using Error Bounds: A Case Study on a Robotic Insertion Task
Zebin Duan, Norbert Krüger, Juan Heredia +2
Flexible manufacturing requires rapid deployment of solutions and minimal setup time to remain competitive. An essential attribute is the ability to control error levels, as failur…
Estimation of Confidence Bounds in Binary Classification using Wilson Score Kernel Density Estimation
Thorbjørn Mosekjær Iversen, Zebin Duan, Frederik Hagelskjær
The performance and ease of use of deep learning-based binary classifiers have improved significantly in recent years. This has opened up the potential for automating critical insp…
Object Pose Distribution Estimation for Determining Revolution and Reflection Uncertainty in Point Clouds
Frederik Hagelskjær, Dimitrios Arapis, Steffen Madsen +1
Object pose estimation is crucial to robotic perception and typically provides a single-pose estimate. However, a single estimate cannot capture pose uncertainty deriving from visu…
Global Optimization of Stochastic Black-Box Functions with Arbitrary Noise Distributions using Wilson Score Kernel Density Estimation
Thorbjørn Mosekjær Iversen, Lars Carøe Sørensen, Simon Faarvang Mathiesen +1
Many optimization problems in robotics involve the optimization of time-expensive black-box functions, such as those involving complex simulations or evaluation of real-world exper…
Robotic Task Success Evaluation Under Multi-modal Non-Parametric Object Pose Uncertainty
Lakshadeep Naik, Thorbjørn Mosekjær Iversen, Aljaz Kramberger +1
Accurate 6D object pose estimation is essential for various robotic tasks. Uncertain pose estimates can lead to task failures; however, a certain degree of error in the pose estima…
Fixture calibration with guaranteed bounds from a few correspondence-free surface points
Rasmus Laurvig Haugaard, Yitaek Kim, Thorbjørn Mosekjær Iversen
Calibration of fixtures in robotic work cells is essential but also time consuming and error-prone, and poor calibration can easily lead to wasted debugging time in downstream task…