Pingcheng Jian 简平诚

I am a fourth year PhD student in the ECE department at Duke University. I'm fortunate to be advised by Professor Michael Zavlanos and Professor Boyuan Chen.

Previously, I obtained my bachelor of engineering from the Department of Automation at Tsinghua University in 2021.

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Research

My current research is about robot learning, and my previous publications mostly focus on robotic manipulation. My current research focuses on applying the foundation models to robotic tasks.

Journal Papers
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen
Transactions on Machine Learning Research (TMLR), 2024
project website / arXiv / OpenReview / video /

We present Perception Stitching that enables strong zero-shot adaptation to large visual changes by directly stitching novel combinations of visual encoders.

Conference Papers
Policy Stitching: Learning Transferable Robot Policies
Pingcheng Jian, Easop Lee, Zachary Bell, Michael M. Zavlanos, Boyuan Chen
Conference on Robot Learning (CoRL), 2023
project website / arXiv / video / CoRL talk /

We propose Policy Stitching, a novel framework to facilitate multi-task and multi-robot transfer.

Adversarial Skill Learning for Robust Manipulation
Pingcheng Jian*, Chao Yang*, Di Guo, Huaping Liu, Fuchun Sun
International Conference on Robotics and Automation (ICRA), 2021
arXiv / video / code /

Using adversarial reinforcement learning to imrove the robustness of robotic manipulation.

Physics-Guided Active Learning of Environmental Flow Fields
Reza Khodayi-mehr, Pingcheng Jian, Michael M. Zavlanos
Learning for Dynamics and Control (L4DC), 2023
arXiv /

We propose a physics-based method to learn environmental fields (EFs) using a mobile robot.

Workshop Papers
DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation
Minghao Zhang*, Pingcheng Jian*, Yi Wu, Huazhe Xu, Xiaolong Wang
ICML Workshop: Reinforcement Learning for Real Life, 2021
project website / arXiv / video /

Solve complex bimanual robot manipulation tasks on multiple objects with disentangled attention, which provides an intrinsic regularization for two robots to focus on separate sub-tasks and objects.

Projects

Some course projects show my engineering capability.

Quadruped Spider Robot
/ video /

I built all the hardware and software of this spider robot from scratch. I drew the parts of this robot with SOLIDWORKS and then printed them with 3D printer. The controller of this robot is a Raspberry Pi, and the control algorithm is written in Python. Then I generated the .urdf files of this robot and built the simulator of this robot with PyBullet.

Teaching Experiences

Teaching Assistant at Duke: ECE 382L/ME 344L - Control of Dynamic Systems / lecture / recitation /
Teaching Assistant at Duke: ECE 689/COMPSCI 676 - Advanced Topics in Deep Learning