Adrien Durand Petiteville

Orcid: 0000-0003-0876-1878

According to our database1, Adrien Durand Petiteville authored at least 26 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Visual Predictive Control for mobile manipulator: Visibility, manipulability, and stability.
Robotics Auton. Syst., 2024

Automated computation of cutting paths for unit-dose repackaging of pharmaceutical blister packs.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

Detection and manipulation of test tubes in the pre-analytical phase of the laboratory sector.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Visual Place Recognition Under a High-Dimensional Subspace Clustering Perspective.
Proceedings of the Latin American Robotics Symposium, 2023

Image-based tree detection for autonomous navigation in orchards.
Proceedings of the Latin American Robotics Symposium, 2023

Multi-Camera GPS-Free Nonlinear Model Predictive Control Strategy to Traverse Orchards.
Proceedings of the European Conference on Mobile Robots, 2023

Enhanced Visual Predictive Control Scheme for Mobile Manipulator.
Proceedings of the European Conference on Mobile Robots, 2023

Multi-camera Visual Predictive Control Strategy for Mobile Manipulators.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

2022
Advanced Visual Predictive Control Scheme for the Navigation Problem.
J. Intell. Robotic Syst., 2022

Visual predictive control for differential drive robots with parallel implementation on GPU.
Comput. Electr. Eng., 2022

Stand-alone obstacle avoidance controller for image-based navigation.
Proceedings of the Latin American Robotics Symposium, 2022

Visual Predictive Control Strategy for Mobile Manipulators.
Proceedings of the European Control Conference, 2022

Autonomous Navigation Strategy for Orchards Relying on Sensor-based Nonlinear Model Predictive Control.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2020
Visual Predictive Control Scheme for a Mobile Robot Navigating in a Cluttered Environment.
Proceedings of the Latin American Robotics Symposium, 2020

2019
Nonlinear Output Feedback for Autonomous U-turn Maneuvers of a Robot in Orchard Headlands.
Proceedings of the 16th International Conference on Informatics in Control, 2019

Visual Predictive Control of Robotic Arms with Overlapping Workspace.
Proceedings of the 16th International Conference on Informatics in Control, 2019

Sensor-based Obstacles Avoidance Using Spiral Controllers for an Aircraft Maintenance Inspection Robot.
Proceedings of the 17th European Control Conference, 2019

2018
Tree Detection With Low-Cost Three-Dimensional Sensors for Autonomous Navigation in Orchards.
IEEE Robotics Autom. Lett., 2018

2017
Real-time segmentation of strawberry flesh and calyx from images of singulated strawberries during postharvest processing.
Comput. Electron. Agric., 2017

Design of a Sensor-based Controller Performing U-turn to Navigate in Orchards.
Proceedings of the 14th International Conference on Informatics in Control, 2017

2015
A Complete Sensor-based System to Navigate Through a Cluttered Environment.
Proceedings of the ICINCO 2015, 2015

2013
Management of visual signal loss during image based visual servoing.
Proceedings of the 12th European Control Conference, 2013

2012
Comparison of Two Sequencing Techniques to Perform a Vision-Based Navigation Task in a Cluttered Environment.
Adv. Robotics, 2012

2011
2D visual servoing for a long range navigation in a cluttered environment.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
On-line estimation of the reference visual features application to a vision based long range navigation task.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

A New Predictor/Corrector Pair to Estimate the Visual Features Depth during a Vision-based Navigation Task in an Unknown Environment - A Solution for Improving the Visual Features Reconstruction During an Occlusion.
Proceedings of the ICINCO 2010, 2010


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