Yunlei Shi

Orcid: 0000-0003-0594-7140

According to our database1, Yunlei Shi authored at least 12 papers between 2021 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
A Sim-to-Real Learning-Based Framework for Contact-Rich Assembly by Utilizing CycleGAN and Force Control.
IEEE Trans. Cogn. Dev. Syst., December, 2023

Visual and Force-Driven-Based Assembly Learning Using Collaborative Robots
PhD thesis, 2023

2022
Reinforcement Learning With Vision-Proprioception Model for Robot Planar Pushing.
Frontiers Neurorobotics, 2022

Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control.
CoRR, 2022

Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

FFHNet: Generating Multi-Fingered Robotic Grasps for Unknown Objects in Real-time.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Impedance Adaptation by Reinforcement Learning with Contact Dynamic Movement Primitives.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021
Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid Position/Force Assembly Skill for Contact-Rich Tasks.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Self-supervised Attention Learning for Robot Control.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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