Xibai Lou

According to our database, Xibai Lou authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Attribute-Based Robotic Grasping With Data-Efficient Adaptation.

Yang Yang, Houjian Yu, Xibai Lou, Yuanhao Liu, Changhyun Choi

IEEE Trans. Robotics, 2024

2023

IOSG: Image-Driven Object Searching and Grasping.

Houjian Yu, Xibai Lou, Yang Yang, Changhyun Choi

IROS, 2023

Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks.

Xibai Lou, Houjian Yu, Ross Worobel, Yang Yang, Changhyun Choi

IROS, 2023

2022

Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter.

Xibai Lou, Yang Yang, Changhyun Choi

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Interactive Robotic Grasping with Attribute-Guided Disambiguation.

Yang Yang, Xibai Lou, Changhyun Choi

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Collision-Aware Target-Driven Object Grasping in Constrained Environments.

Xibai Lou, Yang Yang, Changhyun Choi

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures.

Hengyue Liang, Xibai Lou, Yang Yang, Changhyun Choi

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Attribute-Based Robotic Grasping with One-Grasp Adaptation.

Yang Yang, Yuanhao Liu, Hengyue Liang, Xibai Lou, Changhyun Choi

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning to Generate 6-DoF Grasp Poses with Reachability Awareness.

Xibai Lou, Yang Yang, Changhyun Choi

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Knowledge Induced Deep Q-Network for a Slide-to-Wall Object Grasping.

Hengyue Liang, Xibai Lou, Changhyun Choi

CoRR, 2019