Behavioral Experiments in Email Filter Evasion. - Liyiming Ke; Bo Li 026; Yevgeniy Vorobeychik (AAAI, 2016)

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. - Liyiming Ke; Xiujun Li; Yonatan Bisk; Ari Holtzman; Zhe Gan; Jingjing Liu 001; Jianfeng Gao 001; Yejin Choi 001; Siddhartha S. Srinivasa (CVPR, 2019)

Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations. - Liyiming Ke; Ajinkya Kamat; Jingqiang Wang; Tapomayukh Bhattacharjee; Christoforos I. Mavrogiannis; Siddhartha S. Srinivasa (IROS, 2020)

Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation. - Liyiming Ke; Jingqiang Wang; Tapomayukh Bhattacharjee; Byron Boots; Siddhartha S. Srinivasa (ICRA, 2021)

Imitation Learning as f-Divergence Minimization. - Liyiming Ke; Sanjiban Choudhury; Matt Barnes 001; Wen Sun 002; Gilwoo Lee; Siddhartha S. Srinivasa (WAFR, 2021)

Real World Offline Reinforcement Learning with Realistic Data Source. - Gaoyue Zhou; Liyiming Ke; Siddhartha S. Srinivasa; Abhinav Gupta 001; Aravind Rajeswaran; Vikash Kumar (ICRA, 2023)

Cherry-Picking with Reinforcement Learning. - Yunchu Zhang; Liyiming Ke; Abhay Deshpande; Abhishek Gupta 004; Siddhartha S. Srinivasa (Robotics: Science and Systems, 2023)

CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning. - Liyiming Ke; Yunchu Zhang; Abhay Deshpande; Siddhartha S. Srinivasa; Abhishek Gupta 004 (ICLR, 2024)

Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels. - Abhay Deshpande; Liyiming Ke; Quinn Pfeifer; Abhishek Gupta 004; Siddhartha S. Srinivasa (IROS, 2024)

Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL. - Andrew Wagenmaker; Kevin Huang; Liyiming Ke; Kevin G. Jamieson; Abhishek Gupta 004 (NeurIPS, 2024)

Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL. - Andrew Wagenmaker; Kevin Huang; Liyiming Ke; Byron Boots; Kevin G. Jamieson; Abhishek Gupta 004 (CoRR, 2024)

π0: A Vision-Language-Action Flow Model for General Robot Control. - Kevin Black; Noah Brown; Danny Driess; Adnan Esmail; Michael Equi; Chelsea Finn; Niccolo Fusai; Lachy Groom; Karol Hausman; Brian Ichter; Szymon Jakubczak; Tim Jones; et al. (CoRR, 2024)

Data-Driven Fine Manipulation - Liyiming Ke (2024)

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models. - Lucy Xiaoyang Shi; Brian Ichter; Michael Equi; Liyiming Ke; Karl Pertsch; Quan Vuong; James Tanner; Anna Walling; Haohuan Wang; Niccolo Fusai; Adrian Li-Bell; Danny Driess; et al. (CoRR, 2025)

π0.5: a Vision-Language-Action Model with Open-World Generalization. - Physical Intelligence; Kevin Black; Noah Brown; James Darpinian; Karan Dhabalia; Danny Driess; Adnan Esmail; Michael Equi; Chelsea Finn; Niccolo Fusai; Manuel Y. Galliker; Dibya Ghosh; et al. (CoRR, 2025)

ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning. - Yunchu Zhang; Shubham Mittal 005; Zhengyu Zhang; Liyiming Ke; Siddhartha S. Srinivasa; Abhishek Gupta 004 (CoRR, 2025)