Yingying Wang

Orcid: 0000-0003-3293-0790

Affiliations:
  • Chinese University of Hong Kong, Department of Electronic Engineering, Robotics, Perception and Artificial Intelligence Laboratory, Hong Kong


According to our database1, Yingying Wang authored at least 12 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Anchor-Based Multi-Scale Deep Grasp Pose Detector With Encoded Angle Regression.
IEEE Trans Autom. Sci. Eng., July, 2024

2023
Spatiotemporal Co-Attention Hybrid Neural Network for Pedestrian Localization Based on 6D IMU.
IEEE Trans Autom. Sci. Eng., 2023

Towards an Accurate Augmented-Reality-Assisted Orthopedic Surgical Robotic System Using Bidirectional Generalized Point Set Registration.
IROS, 2023

FDIO: Extended Kalman Filter-Aided Deep Inertial Odometry.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
Inertial Odometry Using Hybrid Neural Network With Temporal Attention for Pedestrian Localization.
IEEE Trans. Instrum. Meas., 2022

A Robot Grasping System With Single-Stage Anchor-Free Deep Grasp Detector.
IEEE Trans. Instrum. Meas., 2022

A2DIO: Attention-Driven Deep Inertial Odometry for Pedestrian Localization based on 6D IMU.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Pose-Invariant Inertial Odometry for Pedestrian Localization.
IEEE Trans. Instrum. Meas., 2021

A Modular Lower Limb Exoskeleton System with RL Based Walking Assistance Control.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Grasp Pose Detection from a Single RGB Image.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Pedestrian Motion Tracking by Using Inertial Sensors on the Smartphone.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Real-Time Robot End-Effector Pose Estimation with Deep Network.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020


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