Hi! I'm a MS Robotics student at the University of Pennsylvania's GRASP Laboratory, where I have been fortunate to work with Jason Ma, Edward Hu, Dinesh Jayaraman and Kostas Daniilidis.

I received my B.S. in Computer Engineering from ZJU and UIUC in 2024, advised by Said Mikki. and Wei Xiang.

I also spent time at IDEA-CVR as a research intern, advised by Xiaoke Jiang and Lei Zhang.

My research interests include VLAs, embodied reasoning and robot learning.
I am a passionate builder to make generalizable agents that can think and execute fine-grained manipulation, like brewing a cup of latte with an espresso machine.

This summer, I am working at Dyna Robotics, delivering high-performance reasoning VLA models. I am applying for a PhD position in Computer Science or Robotics. If you are interested in my research, please feel free to contact me.

News

September 2025

GRASP Student, Faculty and Industry(SFI) Committee Meeting

I joined Faculty and Industry(SFI) Committee at GRASP Lab, inbviting distinguished guests to share their insights and experiences.

August 2025

AAWR gets accepted by NeurIPS 2025!

AAWR: Real-World Reinforcement Learning of Interactive Perception Behaviors

July 2025

RoboArena gets accepted by CoRL 2025, welcome to our workshop!

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies

June 2025

Research Internship at Dyna Robotics

At Dyna Robotics, I learned how to train large-scale VLAs models.

Selected Research

AAWR: Real World Reinforcement Learning of Active Perception Behaviors
NeurIPS 2025 & ARLET Workshop2026

AAWR: Real World Reinforcement Learning of Active Perception Behaviors

Edward S. Hu*, Jie Wang*, Xingfang Yuan*, Fiona Luo, Muyao Li, Gaspard Lambrechts, Oleh Rybkin, Dinesh Jayaraman

tl;drWe propose a simple robot learning recipe leveraging privileged information to train active perception policies on real robots.

RLActive PerceptionVLAs
Evaluating pi0 in the Wild: Strengths, Problems, and the Future of Generalist Robot Policies
GRASP Blog 20252025

Evaluating pi0 in the Wild: Strengths, Problems, and the Future of Generalist Robot Policies

Jie Wang*, Matthew Leonard, Kostas Daniilidis, Dinesh Jayaraman, Edward S. Hu

tl;drWe vibe-check pi0 across 300 trials on various manipulation tasks, summarize the insights and our observations in this blog.

VLAsReal-World Evaluation
All publications

Education

2024—Present

University of Pennsylvania

M.S.E. in Robotics

Advisor: Prof. Dinesh Jayaraman

2020—2024

Zhejiang University

B.E. in Electronic and Computer Engineering

2020—2024

University of Illinois at Urbana-Champaign

B.S. in Computer Engineering

Advisor: Prof. Said Mikki

Thesis: Intelligent Pour-Over Coffee Machine

Experience

Fall 2025 - Present
Daniilidis Research Group, GRASP Lab logo

Graduate Research Assistant Daniilidis Research Group, GRASP Lab

Advisor: Prof. Kostas Daniilidis

Improve Spatial Reasoning of VLAs like Pi05 via Guidance and RL.

Summer 2025
Dyna Robotics logo

Research Intern Dyna Robotics

Advisor: Dr.Jason Ma & York Yang

Building an agentic reasoning VLA for fine-grained manipulation tasks depending on memory.

Fall 2024 - Present
PennPAL Research Group, GRASP Lab logo

Graduate Research Assistant PennPAL Research Group, GRASP Lab

Advisor: Prof. Dinesh Jayaraman

Building VLMs-based Manipulation System via Diffusion Policy for fine-grained tasks. Reproduced ReKep, SPHINX and pi0.

Summer 2024
IDEA-Computer Vision & Robotics Department logo

Multimodal MLE Intern IDEA-Computer Vision & Robotics Department

Advisor: Dr. Xiaoke Jiang & Prof. Lei Zhang

Build, train and optimize a small human-centric video captioning model based on Grounding DINO 1.6Pro.

All projects