Yahav Avigal

Orcid: 0000-0003-2062-5983

According to our database1, Yahav Avigal authored at least 17 papers between 2020 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Automating Vascular Shunt Insertion with the dVRK Surgical Robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Automating 2D Suture Placement.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Simulating Polyculture Farming to Learn Automation Policies for Plant Diversity and Precision Irrigation.
IEEE Trans Autom. Sci. Eng., 2022

GOMP-ST: Grasp Optimized Motion Planning for Suction Transport.
Proceedings of the Algorithmic Foundations of Robotics XV, 2022

SpeedFolding: Learning Efficient Bimanual Folding of Garments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

GOMP-FIT: Grasp-Optimized Motion Planning for Fast Inertial Transport.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Evo-NeRF: Evolving NeRF for Sequential Robot Grasping of Transparent Objects.
Proceedings of the Conference on Robot Learning, 2022

2021
Learning Seed Placements and Automation Policies for Polyculture Farming with Companion Plants.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

AVPLUG: Approach Vector PLanning for Unicontact Grasping amid Clutter.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
Deep learning can accelerate grasp-optimized motion planning.
Sci. Robotics, 2020

6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN.
CoRR, 2020

An Integrated Electronic Interface for Bio-electrochemical Plant-based Sensors.
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

Dex-Net AR: Distributed Deep Grasp Planning Using a Commodity Cellphone and Augmented Reality App.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Simulating Polyculture Farming to Tune Automation Policies for Plant Diversity and Precision Irrigation.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020


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