29 citations · 84 across the 13 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…