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ORCIDLin Shao 0002
Person information
- affiliation: National University of Singapore, Singapore
- affiliation (PhD): Stanford University, CA, USA
Other persons with the same name
- Lin Shao — disambiguation page
- Lin Shao 0001
![[0000-0002-5118-9515]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5118-9515")
— Graz University of Technology, Austria (and 1 more) - Lin Shao 0003 — Shandong University of Science and Technology, Qingdao, China (and 1 more)
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2020 – today
- 2024
[j4]Shenli Yuan, Lin Shao, Yunhai Feng, Jiatong Sun, Teng Xue, Connor L. Yako, Jeannette Bohg, J. Kenneth Salisbury:
Design and Control of Roller Grasper V3 for In-Hand Manipulation. IEEE Trans. Robotics 40: 4222-4234 (2024)- [c19]Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas:
Category-Level Multi-Part Multi-Joint 3D Shape Assembly. CVPR 2024: 3281-3291 - [c18]Yuwei Zeng, Yao Mu, Lin Shao:
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment. ICML 2024 - [c17]Qiaojun Yu, Junbo Wang, Wenhai Liu, Ce Hao, Liu Liu, Lin Shao, Weiming Wang, Cewu Lu:
GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects. ICRA 2024: 5419-5426 - [c16]Gang Yang, Siyuan Luo, Yunhai Feng, Zhixin Sun, Chenrui Tie, Lin Shao:
Jade: A Differentiable Physics Engine for Articulated Rigid Bodies with Intersection-Free Frictional Contact. ICRA 2024: 16915-16922 - [i26]Zhixuan Xu, Chongkai Gao, Zixuan Liu, Gang Yang, Chenrui Tie, Haozhuo Zheng, Haoyu Zhou, Weikun Peng, Debang Wang, Tianyi Chen, Zhouliang Yu, Lin Shao:
ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots. CoRR abs/2405.06964 (2024) - [i25]Yuwei Zeng, Yao Mu, Lin Shao:
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment. CoRR abs/2405.07162 (2024) - [i24]Weikun Peng, Jun Lv, Yuwei Zeng, Haonan Chen, Siheng Zhao, Jichen Sun, Cewu Lu, Lin Shao:
TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach. CoRR abs/2407.03245 (2024) - 2023
- [c15]Xinghao Zhu, JingHan Ke, Zhixuan Xu, Zhixin Sun, Bizhe Bai, Jun Lv, Qingtao Liu, Yuwei Zeng, Qi Ye, Cewu Lu, Masayoshi Tomizuka, Lin Shao:
Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering. CoRL 2023: 499-512 - [c14]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:
ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment. ICCV 2023: 20371-20381 - [c13]Xinyuan Yu, Siheng Zhao, Siyuan Luo, Gang Yang, Lin Shao:
DiffClothAI: Differentiable Cloth Simulation with Intersection-free Frictional Contact and Differentiable Two-Way Coupling with Articulated Rigid Bodies. IROS 2023: 400-407 - [c12]Qingtao Liu, Yu Cui, Qi Ye, Zhengnan Sun, Haoming Li, Gaofeng Li, Lin Shao, Jiming Chen:
DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations. IROS 2023: 3153-3160 - [c11]Jun Lv, Yunhai Feng, Cheng Zhang, Shuang Zhao, Lin Shao, Cewu Lu:
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering. Robotics: Science and Systems 2023 - [i23]Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas:
Category-Level Multi-Part Multi-Joint 3D Shape Assembly. CoRR abs/2303.06163 (2023) - [i22]Qingtao Liu, Yu Cui, Zhengnan Sun, Haoming Li, Gaofeng Li, Lin Shao, Jiming Chen, Qi Ye:
DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations. CoRR abs/2303.09806 (2023) - [i21]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:
ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment. CoRR abs/2308.09987 (2023) - [i20]Gang Yang, Siyuan Luo, Lin Shao:
Jade: A Differentiable Physics Engine for Articulated Rigid Bodies with Intersection-Free Frictional Contact. CoRR abs/2309.04710 (2023) - [i19]Qiaojun Yu, Junbo Wang, Wenhai Liu, Ce Hao, Liu Liu, Lin Shao, Weiming Wang, Cewu Lu:
GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects. CoRR abs/2309.16264 (2023) - [i18]Haoyu Zhou, Mingyu Ding, Weikun Peng, Masayoshi Tomizuka, Lin Shao, Chuang Gan:
Generalizable Long-Horizon Manipulations with Large Language Models. CoRR abs/2310.02264 (2023) - [i17]Yuqi Xiang, Feitong Chen, Qinsi Wang, Yang Gang, Xiang Zhang, Xinghao Zhu, Xingyu Liu, Lin Shao:
Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation. CoRR abs/2310.04930 (2023) - [i16]Min Liu, Gang Yang, Siyuan Luo, Chen Yu, Lin Shao:
SoftMAC: Differentiable Soft Body Simulation with Forecast-based Contact Model and Two-way Coupling with Articulated Rigid Bodies and Clothes. CoRR abs/2312.03297 (2023) - 2022
- [c10]Jun Lv, Qiaojun Yu, Lin Shao, Wenhai Liu, Wenqiang Xu, Cewu Lu:
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning. ICRA 2022: 98-105 - [i15]Jun Lv, Yunhai Feng, Cheng Zhang, Shuang Zhao, Lin Shao, Cewu Lu:
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering. CoRR abs/2210.15185 (2022) - 2021
- [j3]Lin Shao, Toki Migimatsu, Qiang Zhang, Karen Yang, Jeannette Bohg:
Concept2Robot: Learning manipulation concepts from instructions and human demonstrations. Int. J. Robotics Res. 40(12-14): 1419-1434 (2021) - [c9]Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg:
GRAC: Self-Guided and Self-Regularized Actor-Critic. CoRL 2021: 267-276 - [c8]Shuo Cheng, Kaichun Mo, Lin Shao:
Learning to Regrasp by Learning to Place. CoRL 2021: 277-286 - [c7]Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg:
OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation. ICRA 2021: 5921-5927 - [i14]Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg:
OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation. CoRR abs/2103.14283 (2021) - [i13]Shuo Cheng, Kaichun Mo, Lin Shao:
Learning to Regrasp by Learning to Place. CoRR abs/2109.08817 (2021) - [i12]Jun Lv, Qiaojun Yu, Lin Shao, Wenhai Liu, Wenqiang Xu, Cewu Lu:
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning. CoRR abs/2111.14693 (2021) - [i11]Mingxin Yu, Lin Shao, Zhehuan Chen, Tianhao Wu, Qingnan Fan, Kaichun Mo, Hao Dong:
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment. CoRR abs/2112.10143 (2021) - 2020
- [j2]Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg:
UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands. IEEE Robotics Autom. Lett. 5(2): 2286-2293 (2020) - [c6]Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas:
Learning 3D Part Assembly from a Single Image. ECCV (6) 2020: 664-682 - [c5]Lin Shao, Toki Migimatsu, Jeannette Bohg:
Learning to Scaffold the Development of Robotic Manipulation Skills. ICRA 2020: 5671-5677 - [c4]Shenli Yuan, Lin Shao, Connor L. Yako, Alex Gruebele, J. Kenneth Salisbury:
Design and Control of Roller Grasper V2 for In-Hand Manipulation. IROS 2020: 9151-9158 - [c3]Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong:
Generative 3D Part Assembly via Dynamic Graph Learning. NeurIPS 2020 - [c2]Lin Shao, Toki Migimatsu, Qiang Zhang, Kaiyuan Yang, Jeannette Bohg:
Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations. Robotics: Science and Systems 2020 - [i10]Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas:
Learning 3D Part Assembly from a Single Image. CoRR abs/2003.09754 (2020) - [i9]Shenli Yuan, Lin Shao, Connor L. Yako, Alex Gruebele, J. Kenneth Salisbury:
Design and Control of Roller Grasper V2 for In-Hand Manipulation. CoRR abs/2004.08499 (2020) - [i8]Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong:
Generative 3D Part Assembly via Dynamic Graph Learning. CoRR abs/2006.07793 (2020) - [i7]Lin Shao, Yifan You, Mengyuan Yan, Qingyun Sun, Jeannette Bohg:
GRAC: Self-Guided and Self-Regularized Actor-Critic. CoRR abs/2009.08973 (2020)
2010 – 2019
- 2019
- [i6]Fábio Ferreira, Lin Shao, Tamim Asfour, Jeannette Bohg:
Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases. CoRR abs/1909.03749 (2019) - [i5]Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg:
UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands. CoRR abs/1910.10900 (2019) - [i4]Lin Shao, Toki Migimatsu, Jeannette Bohg:
Learning to Scaffold the Development of Robotic Manipulation Skills. CoRR abs/1911.00969 (2019) - 2018
- [j1]Lin Shao, Parth Shah, Vikranth Dwaracherla, Jeannette Bohg:
Motion-Based Object Segmentation Based on Dense RGB-D Scene Flow. IEEE Robotics Autom. Lett. 3(4): 3797-3804 (2018) - [i3]Lin Shao, Parth Shah, Vikranth Dwaracherla, Jeannette Bohg:
Motion-based Object Segmentation based on Dense RGB-D Scene Flow. CoRR abs/1804.05195 (2018) - [i2]Lin Shao, Ye Tian, Jeannette Bohg:
ClusterNet: Instance Segmentation in RGB-D Images. CoRR abs/1807.08894 (2018) - 2017
- [c1]Lin Shao, Angel X. Chang, Hao Su, Manolis Savva, Leonidas J. Guibas:
Cross-Modal Attribute Transfer for Rescaling 3D Models. 3DV 2017: 640-648 - [i1]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:
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. CoRR abs/1710.06104 (2017)
Coauthor Index
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last updated on 2024-10-28 21:17 CET by the dblp team
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