References of "Detry, Renaud"
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See detailA vision-based autonomous inter-row weeder
Krishna Moorthy Parvathi, Sruthi Moorthy ULg; Detry, Renaud ULg; Boigelot, Bernard ULg et al

Conference (2014, March 05)

Autonomous robotic weed destruction plays a significant role in crop production as it automates one of the few unmechanized and drudging tasks of agriculture i.e. manual weed destruction. Robotic ... [more ▼]

Autonomous robotic weed destruction plays a significant role in crop production as it automates one of the few unmechanized and drudging tasks of agriculture i.e. manual weed destruction. Robotic technology also contributes to long-term sustainability with both economic and environmental benefits, by minimising the current dependency on chemicals. The aim of this study is to design a small low-cost versatile robot allowing the destruction of weeds that lie between the crop rows by navigating in the field autonomously and using a minimum of a priori information of the field. For the robot to navigate autonomously, necessary and sufficient information can be supplied by a machine vision system. One important issue with the application of machine vision is to develop a system that recognises the crop rows accurately and robustly which is tolerant to problems such as crops at varying growth stages, poor illumination conditions, missing crops, high weed pressure, etc. Aiming at accurate and robust real-time guidance of autonomous robot through the field, the plethora of image processing algorithms like Ostu’s threshold method and hough transform will be explored for two main processes namely the image segmentation and crop row detection respectively. In order to overcome the issue of large variabilities encountered in agriculture such as varying weather conditions, intelligent stochastic data fusion and machine learning algorithms will be used to combine data from heterogeneous sensors. Besides crop row detection, other major challenges foreseen are: mapping the unknown geometry of the field, high-level planning of efficient and complete coverage of the field, controlling the low-level op- erations of the robot, and ensuring security. Specialised sensors such as GPS will be considered to generate the map of the field enabling Simultaneous Localisation And Mapping (SLAM) in real time on a mobile platform. The generated map will be exploited along with the sensorial in- formation from crop row detection to efficiently plan and execute the guidance of the robot au- tonomously in the field, thereby enabling weed elimination. [less ▲]

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See detailLearning dextrous grasps that generalise to novel objects by combining hand and contact models
Kopicki, Marek; Detry, Renaud ULg; Schmidt, Florian et al

in IEEE International Conference on Robotics and Automation (2014)

Detailed reference viewed: 13 (0 ULg)
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See detailRepresentations for Cross-task, Cross-object Grasp Transfer
Hjelm, Martin; Detry, Renaud ULg; Ek, Carl Henrik et al

in IEEE International Conference on Robotics and Automation (2014)

Detailed reference viewed: 38 (0 ULg)
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See detailInertially-safe Grasping of Novel Objects
Rietzler, Alexander; Detry, Renaud ULg; Piater, Justus

Conference (2013)

Detailed reference viewed: 11 (1 ULg)
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See detailGeneralizing Task Parameters Through Modularization
Detry, Renaud ULg; Hjelm, Martin; Ek, Carl Henrik et al

Conference (2013)

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See detailUnsupervised Learning Of Predictive Parts For Cross-object Grasp Transfer
Detry, Renaud ULg; Piater, Justus

in IEEE/RSJ International Conference on Intelligent Robots and Systems (2013)

Detailed reference viewed: 11 (1 ULg)
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See detailSparse Summarization of Robotic Grasp Data
Hjelm, Martin; Ek, Carl Henrik; Detry, Renaud ULg et al

in IEEE International Conference on Robotics and Automation (2013)

Detailed reference viewed: 21 (0 ULg)
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See detailLearning a Dictionary of Prototypical Grasp-predicting Parts from Grasping Experience
Detry, Renaud ULg; Ek, Carl Henrik; Madry, Marianna et al

in IEEE International Conference on Robotics and Automation (2013)

Detailed reference viewed: 20 (3 ULg)
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See detailGeneralizing Grasps Across Partly Similar Objects
Detry, Renaud ULg; Ek, Carl Henrik; Madry, Marianna et al

in IEEE International Conference on Robotics and Automation (2012)

Detailed reference viewed: 14 (1 ULg)
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See detailCompressing Grasping Experience into a Dictionary of Prototypical Grasp-predicting Parts
Detry, Renaud ULg; Ek, Carl Henrik; Madry, Marianna et al

Conference (2012)

Detailed reference viewed: 46 (0 ULg)
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See detailImproving Generalization for 3D Object Categorization with Global Structure Histograms
Madry, Marianna; Ek, Carl Henrik; Detry, Renaud ULg et al

in IEEE/RSJ International Conference on Intelligent Robots and Systems (2012)

Detailed reference viewed: 18 (0 ULg)
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See detailGrasp Stability from Vision and Touch
Bekiroglu, Yasemin; Detry, Renaud ULg; Kragic, Danica

Conference (2012)

Detailed reference viewed: 31 (3 ULg)
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See detailLearning Grasp Affordance Densities
Detry, Renaud ULg; Kraft, D.; Kroemer, O. et al

in Paladyn. Journal of Behavioral Robotics (2011), 2(1), 1--17

Detailed reference viewed: 16 (2 ULg)
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See detailGrasp Generalization Via Predictive Parts
Detry, Renaud ULg; Piater, Justus ULg

Conference (2011)

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See detailLearning Visual Representations for Perception-Action Systems
Piater, Justus ULg; JODOGNE, Sébastien ULg; Detry, Renaud ULg et al

in International Journal of Robotics Research (2011), 30(3), 294-307

Detailed reference viewed: 16 (7 ULg)
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See detailWhat a successful grasp tells about the success chances of grasps in its vicinity
Bodenhagen, Leon; Detry, Renaud ULg; Piater, Justus ULg et al

in ICDL-EpiRob (2011)

Detailed reference viewed: 9 (2 ULg)
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See detailJoint Observation of Object Pose and Tactile Imprints for Online Grasp Stability Assessment
Bekiroglu, Yasemin; Detry, Renaud ULg; Kragic, Danica

Conference (2011)

Detailed reference viewed: 10 (0 ULg)
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See detailLearning Tactile Characterizations Of Object- And Pose-specific Grasps
Bekiroglu, Yasemin; Detry, Renaud ULg; Kragic, Danica

in IEEE/RSJ International Conference on Intelligent Robots and Systems (2011)

Detailed reference viewed: 11 (0 ULg)
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See detailLearning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision
Erkan, Ayse; Kroemer, Oliver; Detry, Renaud ULg et al

in IEEE/RSJ International Conference on Intelligent Robots and Systems (2010)

Detailed reference viewed: 20 (5 ULg)
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See detailAdapting Preshaped Grasping Movements using Vision Descriptors
Kroemer, Oliver; Detry, Renaud ULg; Piater, Justus ULg et al

in From Animals to Animats 11 -- International Conference on the Simulation of Adaptive Behavior (2010)

Detailed reference viewed: 17 (5 ULg)