Juan Aparicio Ojea

According to our database¹, Juan Aparicio Ojea authored at least 16 papers between 2017 and 2020.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2020

UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Information-Collection in Robotic Process Monitoring: An Active Perception Approach.

[BibT_eX]

[DOI]

CoRR, 2020

Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

LFZip: Lossy Compression of Multivariate Floating-Point Time Series Data via Improved Prediction.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2020

Robust Task-Based Grasping as a Service.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands.

[BibT_eX]

[DOI]

CoRR, 2019

Domain Randomization for Active Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Residual Reinforcement Learning for Robot Control.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Deep Reinforcement Learning for Robotic Assembly of Mixed Deformable and Rigid Objects.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Robotic Assembly from CAD.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Towards Automating Precision Irrigation: Deep Learning to Infer Local Soil Moisture Conditions from Synthetic Aerial Agricultural Images.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIII, 2017

Design of parallel-jaw gripper tip surfaces for robust grasping.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Juan Aparicio Ojea

Timeline

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