Bin Li

Orcid: 0000-0003-1684-8869

Affiliations:
  • Chinese University of Hong Kong, T stone Robotics Institute, Department of Mechanical and Automation Engineering, Hong Kong


According to our database1, Bin Li authored at least 20 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
GMM-Based Heuristic Decision Framework for Safe Automated Laparoscope Control.
IEEE Robotics Autom. Lett., February, 2024

World Models for General Surgical Grasping.
CoRR, 2024

Enhanced Scale-Aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Simultaneous Estimation of Shape and Force along Highly Deformable Surgical Manipulators Using Sparse FBG Measurement.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Intuitive Teleoperation Control for Flexible Robotic Endoscopes Under Unkonwn Environmental Interferences.
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024

2023
Robot-Camera Calibration in Tightly Constrained Environment Using Interactive Perception.
IEEE Trans. Robotics, December, 2023

Stereo Dense Scene Reconstruction and Accurate Localization for Learning-Based Navigation of Laparoscope in Minimally Invasive Surgery.
IEEE Trans. Biomed. Eng., February, 2023

End-to-End Deep Visual Control for Mastering Needle-Picking Skills With World Models and Behavior Cloning.
CoRR, 2023

End-to-End Learning of Deep Visuomotor Policy for Needle Picking.
IROS, 2023

Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Toward Image-Guided Automated Suture Grasping Under Complex Environments: A Learning-Enabled and Optimization-Based Holistic Framework.
IEEE Trans Autom. Sci. Eng., 2022

Learning Laparoscope Actions via Video Features for Proactive Robotic Field-of-View Control.
IEEE Robotics Autom. Lett., 2022

Open-source High-precision Autonomous Suturing Framework With Visual Guidance.
CoRR, 2022

Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Robust Three-Dimensional Shape Sensing for Flexible Endoscopic Surgery Using Multi-Core FBG Sensors.
IEEE Robotics Autom. Lett., 2021

Stereo Dense Scene Reconstruction and Accurate Laparoscope Localization for Learning-Based Navigation in Robot-Assisted Surgery.
CoRR, 2021

SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Data-driven Holistic Framework for Automated Laparoscope Optimal View Control with Learning-based Depth Perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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