activity
20172023
most citedPath Planning for Manipulation using Experience-driven Random Trees

29 citations · 84 across the 13 of their papers we have counts for

collaborators

16 papers

cs.RO2023

Enhancing AUV Autonomy With Model Predictive Path Integral Control

Pierre Nicolay, Yvan Petillot, Mykhaylo Marfeychuk +2

Autonomous underwater vehicles (AUVs) play a crucial role in surveying marine environments, carrying out underwater inspection tasks, and ocean exploration. However, in order to en…

cs.AI2022★ 2 cited

Temporal Planning with Incomplete Knowledge and Perceptual Information

Yaniel Carreno, Yvan Petillot, Ronald P. A. Petrick

In real-world applications, the ability to reason about incomplete knowledge, sensing, temporal notions, and numeric constraints is vital. While several AI planners are capable of…

cs.RO2021

From market-ready ROVs to low-cost AUVs

Jonatan Scharff Willners, Ignacio Carlucho, Tomasz Łuczyński +10

Autonomous Underwater Vehicles (AUVs) are becoming increasingly important for different types of industrial applications. The generally high cost of (AUVs) restricts the access to…

cs.CV2021★ 3 cited

Underwater inspection and intervention dataset

Tomasz Luczynski, Jonatan Scharff Willners, Elizabeth Vargas +5

This paper presents a novel dataset for the development of visual navigation and simultaneous localisation and mapping (SLAM) algorithms as well as for underwater intervention task…

cs.RO2021★ 19 cited

Radar SLAM: A Robust SLAM System for All Weather Conditions

Ziyang Hong, Yvan Petillot, Andrew Wallace +1

A Simultaneous Localization and Mapping (SLAM) system must be robust to support long-term mobile vehicle and robot applications. However, camera and LiDAR based SLAM systems can be…

cs.RO2021★ 29 cited

Path Planning for Manipulation using Experience-driven Random Trees

Èric Pairet, Constantinos Chamzas, Yvan Petillot +1

Robotic systems may frequently come across similar manipulation planning problems that result in similar motion plans. Instead of planning each problem from scratch, it is preferab…

cs.RO2020★ 1 cited

Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping

Cong Wang, Qifeng Zhang, Qiyan Tian +6

Agile control of mobile manipulator is challenging because of the high complexity coupled by the robotic system and the unstructured working environment. Tracking and grasping a dy…

cs.RO2020

Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments

Èric Pairet, Juan David Hernández, Marc Carreras +2

Safe autonomous navigation is an essential and challenging problem for robots operating in highly unstructured or completely unknown environments. Under these conditions, not only…

cs.RO2020★ 17 cited

RadarSLAM: Radar based Large-Scale SLAM in All Weathers

Ziyang Hong, Yvan Petillot, Sen Wang

Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been presented in last decade using different sensor modalities. However, robust SLAM in extreme weather condi…

cs.CV2020

A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification

Mateusz Ochal, Jose Vazquez, Yvan Petillot +1

Deep convolutional neural networks generally perform well in underwater object recognition tasks on both optical and sonar images. Many such methods require hundreds, if not thousa…

cs.RO2019

Learning Generalisable Coupling Terms for Obstacle Avoidance via Low-dimensional Geometric Descriptors

Èric Pairet, Paola Ardón, Michael Mistry +1

Unforeseen events are frequent in the real-world environments where robots are expected to assist, raising the need for fast replanning of the policy in execution to guarantee the…

cs.RO2019

Learning and Composing Primitive Skills for Dual-arm Manipulation

Èric Pairet, Paola Ardón, Michael Mistry +1

In an attempt to confer robots with complex manipulation capabilities, dual-arm anthropomorphic systems have become an important research topic in the robotics community. Most appr…

cs.RO2019★ 10 cited

Learning and Generalisation of Primitives Skills Towards Robust Dual-arm Manipulation

Èric Pairet, Paola Ardón, Frank Broz +2

Robots are becoming a vital ingredient in society. Some of their daily tasks require dual-arm manipulation skills in the rapidly changing, dynamic and unpredictable real-world envi…

cs.HC2018

A Natural Language Interface with Relayed Acoustic Communications for Improved Command and Control of AUVs

David A. Robb, Jonatan Scharff Willners, Nicolas Valeyrie +6

Autonomous underwater vehicles (AUVs) are being tasked with increasingly complex missions. The acoustic communications required for AUVs are, by the nature of the medium, low bandw…

eess.SY2017★ 3 cited

A New Framework for Synthetic Aperture Sonar Micronavigation

Salvatore Caporale, Yvan Petillot

Synthetic aperture imaging systems achieve constant azimuth resolution by coherently summating the observations acquired along the aperture path. At this aim, their locations have…

cs.IT2017

Time Warping and Interpolation Operators for Piecewise Smooth Maps

Salvatore Caporale, Yvan Petillot

A warping operator consists of an invertible axis deformation applied either in the signal domain or in the corresponding Fourier domain. Additionally, a warping transformation is…