Pingcheng Jian 简平诚

I am a Postdoctoral Research Associate at the Robot Learning Lab at Imperial College London, working with Professor Edward Johns, starting from November 2025.

I received the Ph.D. degree in Electrical and Computer Engineering from Duke University in September 2025, under the supervision of Professor Michael Zavlanos and Professor Boyuan Chen. Prior to that, I obtained my bachelor of engineering degree from the Department of Automation at Tsinghua University.

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My area of research is robot learning. I am currently working on the ARIA-funded project ‘Democratising Co-Design of Hardware and Control for Robot Dexterity’ project in the Robot Dexterity program. My research focuses on developing robot learning methods for complex behavior, efficient generalization, and strong robustness.

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

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

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

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

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.

Some course projects show my engineering capability.

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.