Kai Lu

According to our database, Kai Lu authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

InteLiPlan: Interactive Lightweight LLM-Based Planner for Domestic Robot Autonomy.

Kim Tien Ly, Kai Lu, Ioannis Havoutis

CoRR, 2024

See, Imagine, Plan: Discovering and Hallucinating Tasks from a Single Image.

Chenyang Ma, Kai Lu, Ta Ying Cheng, Niki Trigoni, Andrew Markham

CoRR, 2024

SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors.

Chenyang Ma, Kai Lu, Ta Ying Cheng, Niki Trigoni, Andrew Markham

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Generalizable Manipulation Policy with Adapter-Based Parameter Fine-Tuning.

Kai Lu, Kim Tien Ly, William Hebberd, Kaichen Zhou, Ioannis Havoutis, Andrew Markham

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Learning to Catch Reactive Objects with a Behavior Predictor.

Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

DynPoint: Dynamic Neural Point For View Synthesis.

Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation.

Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation.

Kai Lu, Bo Yang, Bing Wang, Andrew Markham

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2020

Semi-Empirical Simulation of Learned Force Response Models for Heterogeneous Elastic Objects.

Yifan Zhu, Kai Lu, Kris Hauser

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

2019

Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment.

Yuhong Deng, Xiaofeng Guo, Yixuan Wei, Kai Lu, Bin Fang, Di Guo, Huaping Liu, Fuchun Sun

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Active Affordance Exploration for Robot Grasping.

Huaping Liu, Yuan Yuan, Yuhong Deng, Xiaofeng Guo, Yixuan Wei, Kai Lu, Bin Fang, Di Guo, Fuchun Sun

Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019