Lin Shao

According to our database, Lin Shao authored at least 31 papers between 2017 and 2023.

Collaborative distances:

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

2023

SoftMAC: Differentiable Soft Body Simulation with Forecast-based Contact Model and Two-way Coupling with Articulated Rigid Bodies and Clothes.

Min Liu, Gang Yang, Siyuan Luo, Chen Yu, Lin Shao

CoRR, 2023

Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation.

Yuqi Xiang, Feitong Chen, Qinsi Wang, Yang Gang, Xiang Zhang, Xinghao Zhu, Xingyu Liu, Lin Shao

CoRR, 2023

Generalizable Long-Horizon Manipulations with Large Language Models.

Haoyu Zhou, Mingyu Ding, Weikun Peng, Masayoshi Tomizuka, Lin Shao, Chuang Gan

CoRR, 2023

GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects.

Qiaojun Yu, Junbo Wang, Wenhai Liu, Ce Hao, Liu Liu, Lin Shao, Weiming Wang, Cewu Lu

CoRR, 2023

Jade: A Differentiable Physics Engine for Articulated Rigid Bodies with Intersection-Free Frictional Contact.

Gang Yang, Siyuan Luo, Lin Shao

CoRR, 2023

Category-Level Multi-Part Multi-Joint 3D Shape Assembly.

Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas

CoRR, 2023

SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering.

Jun Lv, Yunhai Feng, Cheng Zhang, Shuang Zhao, Lin Shao, Cewu Lu

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

DiffClothAI: Differentiable Cloth Simulation with Intersection-free Frictional Contact and Differentiable Two-Way Coupling with Articulated Rigid Bodies.

Xinyuan Yu, Siheng Zhao, Siyuan Luo, Gang Yang, Lin Shao

IROS, 2023

DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations.

Qingtao Liu, Yu Cui, Qi Ye, Zhengnan Sun, Haoming Li, Gaofeng Li, Lin Shao, Jiming Chen

IROS, 2023

ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment.

Bingyang Zhou, Haoyu Zhou, Tianhai Liang, Qiaojun Yu, Siheng Zhao, Yuwei Zeng, Jun Lv, Siyuan Luo, Qiancai Wang, Xinyuan Yu, Haonan Chen, Cewu Lu, Lin Shao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering.

Xinghao Zhu, JingHan Ke, Zhixuan Xu, Zhixin Sun, Bizhe Bai, Jun Lv, Qingtao Liu, Yuwei Zeng, Qi Ye, Cewu Lu, Masayoshi Tomizuka, Lin Shao

Proceedings of the Conference on Robot Learning, 2023

2022

SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning.

Jun Lv, Qiaojun Yu, Lin Shao, Wenhai Liu, Wenqiang Xu, Cewu Lu

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

2021

Concept2Robot: Learning manipulation concepts from instructions and human demonstrations.

Lin Shao, Toki Migimatsu, Qiang Zhang, Karen Yang, Jeannette Bohg

Int. J. Robotics Res., 2021

RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment.

Mingxin Yu, Lin Shao, Zhehuan Chen, Tianhao Wu, Qingnan Fan, Kaichun Mo, Hao Dong

CoRR, 2021

OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation.

Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg

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

GRAC: Self-Guided and Self-Regularized Actor-Critic.

Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learning to Regrasp by Learning to Place.

Shuo Cheng, Kaichun Mo, Lin Shao

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands.

Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg

IEEE Robotics Autom. Lett., 2020

GRAC: Self-Guided and Self-Regularized Actor-Critic.

Lin Shao, Yifan You, Mengyuan Yan, Qingyun Sun, Jeannette Bohg

CoRR, 2020

Generative 3D Part Assembly via Dynamic Graph Learning.

Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong

CoRR, 2020

Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations.

Lin Shao, Toki Migimatsu, Qiang Zhang, Kaiyuan Yang, Jeannette Bohg

Proceedings of the Robotics: Science and Systems XVI, 2020

Generative 3D Part Assembly via Dynamic Graph Learning.

Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Design and Control of Roller Grasper V2 for In-Hand Manipulation.

Shenli Yuan, Lin Shao, Connor L. Yako, Alex Gruebele, J. Kenneth Salisbury

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

Learning to Scaffold the Development of Robotic Manipulation Skills.

Lin Shao, Toki Migimatsu, Jeannette Bohg

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

Learning 3D Part Assembly from a Single Image.

Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands.

Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg

CoRR, 2019

Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases.

Fábio Ferreira, Lin Shao, Tamim Asfour, Jeannette Bohg

CoRR, 2019

2018

Motion-Based Object Segmentation Based on Dense RGB-D Scene Flow.

Lin Shao, Parth Shah, Vikranth Dwaracherla, Jeannette Bohg

IEEE Robotics Autom. Lett., 2018

ClusterNet: Instance Segmentation in RGB-D Images.

Lin Shao, Ye Tian, Jeannette Bohg

CoRR, 2018

2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.

Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas

CoRR, 2017

Cross-Modal Attribute Transfer for Rescaling 3D Models.

Lin Shao, Angel X. Chang, Hao Su, Manolis Savva, Leonidas J. Guibas

Proceedings of the 2017 International Conference on 3D Vision, 2017