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20162024
most citedA Stack-of-Tasks Approach Combined with Behavior Trees: a New Framework for Robot Control

16 citations · 31 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.RO2024

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…

cs.RO2022

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…

cs.RO2022★ 16 cited

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…

cs.RO2018

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…

cs.RO2018★ 4 cited

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…

cs.RO2016★ 11 cited

An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping

Daniel R. Canelhas, Erik Schaffernicht, Todor Stoyanov +2

In order to deal with the scaling problem of volumetric map representations we propose spatially local methods for high-ratio compression of 3D maps, represented as truncated signe…