16 citations · 31 across the 7 of their papers we have counts for
7 papers
LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow
Yufei Zhu, Han Fan, Andrey Rudenko +3
Long-term human motion prediction (LHMP) is essential for safely operating autonomous robots and vehicles in populated environments. It is fundamental for various applications, inc…
Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees
Marco Iannotta, David Cáceres Domínguez, Johannes A. Stork +2
Integrating the heterogeneous controllers of a complex mechanical system, such as a mobile manipulator, within the same structure and in a modular way is still challenging. In this…
Towards Task-Prioritized Policy Composition
Finn Rietz, Erik Schaffernicht, Todor Stoyanov +1
Combining learned policies in a prioritized, ordered manner is desirable because it allows for modular design and facilitates data reuse through knowledge transfer. In control theo…
A Stack-of-Tasks Approach Combined with Behavior Trees: a New Framework for Robot Control
David Cáceres Domínguez, Marco Iannotta, Johannes A. Stork +2
Stack-of-Tasks (SoT) control allows a robot to simultaneously fulfill a number of prioritized goals formulated in terms of (in)equality constraints in error space. Since this appro…
Safe-To-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization
Jens Lundell, Robert Krug, Erik Schaffernicht +2
Policy search reinforcement learning allows robots to acquire skills by themselves. However, the learning procedure is inherently unsafe as the robot has no a-priori way to predict…
A Next-Best-Smell Approach for Remote Gas Detection with a Mobile Robot
Riccardo Polvara, Marco Trabattoni, Tomasz Piotr Kucner +3
The problem of gas detection is relevant to many real-world applications, such as leak detection in industrial settings and landfill monitoring. Using mobile robots for gas detecti…