1 citations · 2 across the 7 of their papers we have counts for
7 papers
Progress Constraints for Reinforcement Learning in Behavior Trees
Finn Rietz, Mart Kartašev, Petter Ögren +1
Behavior Trees (BTs) provide a structured and reactive framework for decision-making, commonly used to switch between sub-controllers based on environmental conditions. Reinforceme…
Design and Evaluation of an Assisted Programming Interface for Behavior Trees in Robotics
Jonathan Styrud, Matteo Iovino, Rebecca Stower +4
The possibility to create reactive robot programs faster without the need for extensively trained programmers is becoming increasingly important. So far, it has not been explored h…
Marinarium: A Modular Experimental Facility for Reproducible Maritime and Space-Analog Field Robotics
Ignacio Torroba, David Dorner, Victor Nan Fernandez-Ayala +14
Field robotics research in maritime and space domains is constrained by a persistent gap between low-cost, low-fidelity simulation and costly offshore experimentation. Instrumented…
SMaRCSim: Maritime Robotics Simulation Modules
Mart Kartašev, David Dörner, Özer Özkahraman +3
Developing new functionality for underwater robots and testing them in the real world is time-consuming and resource-intensive. Simulation environments allow for rapid testing befo…
Improving the performance of Learned Controllers in Behavior Trees using Value Function Estimates at Switching Boundaries
Mart Kartasev, Petter Ögren
Behavior trees represent a modular way to create an overall controller from a set of sub-controllers solving different sub-problems. These sub-controllers can be created in differe…
A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification
Fabian Dubourvieux, Romaric Audigier, Angélique Loesch +2
The use of pseudo-labels prevails in order to tackle Unsupervised Domain Adaptive (UDA) Re-Identification (re-ID) with the best performance. Indeed, this family of approaches has g…
Implementing Adaptive Separable Convolution for Video Frame Interpolation
Mart Kartašev, Carlo Rapisarda, Dominik Fay
As Deep Neural Networks are becoming more popular, much of the attention is being devoted to Computer Vision problems that used to be solved with more traditional approaches. Video…