Qingkai Lu

According to our database, Qingkai Lu authored at least 10 papers between 2014 and 2022.

Collaborative distances:

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

2022

Excavation Reinforcement Learning Using Geometric Representation.

Qingkai Lu, Yifan Zhu, Liangjun Zhang

IEEE Robotics Autom. Lett., 2022

2021

Excavation Learning for Rigid Objects in Clutter.

Qingkai Lu, Liangjun Zhang

IEEE Robotics Autom. Lett., 2021

2020

Grasp Planning Using Probabilistic Inference.

Qingkai Lu

PhD thesis, 2020

Multifingered Grasp Planning via Inference in Deep Neural Networks: Outperforming Sampling by Learning Differentiable Models.

Qingkai Lu, Mark Van der Merwe, Balakumar Sundaralingam, Tucker Hermans

IEEE Robotics Autom. Mag., 2020

Multi-Fingered Grasp Planning via Inference in Deep Neural Networks.

Qingkai Lu, Mark Van der Merwe, Balakumar Sundaralingam, Tucker Hermans

CoRR, 2020

Multi-Fingered Active Grasp Learning.

Qingkai Lu, Mark Van der Merwe, Tucker Hermans

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Continuous 3D Reconstructions for Geometrically Aware Grasping.

Mark Van der Merwe, Qingkai Lu, Balakumar Sundaralingam, Martin Matak, Tucker Hermans

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

2019

Modeling Grasp Type Improves Learning-Based Grasp Planning.

Qingkai Lu, Tucker Hermans

IEEE Robotics Autom. Lett., 2019

2017

Planning Multi-fingered Grasps as Probabilistic Inference in a Learned Deep Network.

Qingkai Lu, Kautilya Chenna, Balakumar Sundaralingam, Tucker Hermans

Proceedings of the Robotics Research, The 18th International Symposium, 2017

2014

Play type recognition in real-world football video.

Sheng Chen, Zhongyuan Feng, Qingkai Lu, Behrooz Mahasseni, Trevor Fiez, Alan Fern, Sinisa Todorovic

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014