activity
20182021
most citedPath Planning for Manipulation using Experience-driven Random Trees

29 citations · 79 across the 7 of their papers we have counts for

collaborators

12 papers

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.CV20213 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.RO202119 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.RO202129 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.RO20201 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…