Truthful Team Formation for Crowdsourcing in Social Networks: (Extended Abstract). - Wanyuan Wang; Zhanpeng He; Peng Shi; Weiwei Wu 001; Yichuan Jiang (AAMAS, 2016)

Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. - Ryan Julian; Eric Heiden; Zhanpeng He; Hejia Zhang; Stefan Schaal; Joseph J. Lim; Gaurav S. Sukhatme; Karol Hausman (ISER, 2018)

Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. - Hejia Zhang; Eric Heiden; Ryan Julian; Zhangpeng He; Joseph J. Lim; Gaurav S. Sukhatme (CoRR, 2018)

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. - Zhanpeng He; Ryan Julian; Eric Heiden; Hejia Zhang; Stefan Schaal; Joseph J. Lim; Gaurav S. Sukhatme; Karol Hausman (CoRR, 2018)

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning. - Tianhe Yu; Deirdre Quillen; Zhanpeng He; Ryan Julian; Karol Hausman; Chelsea Finn; Sergey Levine (CoRL, 2019)

Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks. - Wanyuan Wang; Zhanpeng He; Peng Shi; Weiwei Wu 001; Yichuan Jiang; Bo An 001; Zhifeng Hao; Bing Chen 002 (IEEE Trans. Mob. Comput., 2019)

Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning. - Tianjian Chen; Zhanpeng He; Matei T. Ciocarlie (CoRL, 2020)

Learning 3D Dynamic Scene Representations for Robot Manipulation. - Zhenjia Xu; Zhanpeng He; Jiajun Wu 001; Shuran Song (CoRL, 2020)

SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks. - Bohan Wu; Feng Xu; Zhanpeng He; Abhi Gupta; Peter K. Allen (IROS, 2020)

Scaling simulation-to-real transfer by learning a latent space of robot skills. - Ryan Julian; Eric Heiden; Zhanpeng He; Hejia Zhang; Stefan Schaal; Joseph J. Lim; Gaurav S. Sukhatme; Karol Hausman (Int. J. Robotics Res., 2020)

UMPNet: Universal Manipulation Policy Network for Articulated Objects. - Zhenjia Xu; Zhanpeng He; Shuran Song (CoRR, 2021)

Co-designing hardware and control for robot hands. - Tianjian Chen; Zhanpeng He; Matei T. Ciocarlie (Sci. Robotics, 2021)

Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning. - Zhanpeng He; Matei T. Ciocarlie (ICRA, 2022)

Universal Manipulation Policy Network for Articulated Objects. - Zhenjia Xu; Zhanpeng He; Shuran Song (IEEE Robotics Autom. Lett., 2022)

Pick2Place: Task-aware 6DoF Grasp Estimation via Object-Centric Perspective Affordance. - Zhanpeng He; Nikhil Chavan Dafle; Jinwook Huh; Shuran Song; Volkan Isler (ICRA, 2023)

A Decoupling Matrix-Based Learning Control Scheme for the Machine Directional Register of Roll-to-Roll Systems. - Tao Zhang 081; Zhanpeng He; Zhihua Chen (IEEE Trans. Ind. Electron., 2023)

MORPH: Design Co-optimization with Reinforcement Learning via a Differentiable Hardware Model Proxy. - Zhanpeng He; Matei T. Ciocarlie (ICRA, 2024)

Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning. - Siddharth Singi; Zhanpeng He; Alvin Pan; Sandip Patel; Gunnar A. Sigurdsson; Robinson Piramuthu; Shuran Song; Matei T. Ciocarlie (ICRA, 2024)

Task-Based Design and Policy Co-Optimization for Tendon-driven Underactuated Kinematic Chains. - Sharfin Islam; Zhanpeng He; Matei T. Ciocarlie (IROS, 2024)

Uncertainty Comes for Free: Human-in-the-Loop Policies with Diffusion Models. - Zhanpeng He; Yifeng Cao; Matei T. Ciocarlie (CoRR, 2025)

VibeCheck: Using Active Acoustic Tactile Sensing for Contact-Rich Manipulation. - Kaidi Zhang; Do-Gon Kim; Eric T. Chang; Hua-Hsuan Liang; Zhanpeng He; Kathryn Lampo; Philippe Wu; Ioannis Kymissis; Matei T. Ciocarlie (CoRR, 2025)

Meta-World+: An Improved, Standardized, RL Benchmark. - Reginald McLean; Evangelos Chatzaroulas; Luc McCutcheon; Frank Röder; Tianhe Yu; Zhanpeng He; K. R. Zentner; Ryan Julian; Jordan K. Terry; Isaac Woungang; Nariman Farsad; Pablo Samuel Castro (CoRR, 2025)