Yuchen Song (宋雨辰)

I'm a 2nd year Ph.D. student at University of California, Irvine, advised by Prof. Unnat Jain. Before that, I obtained my M.S. degree from University of California, San Diego, where I worked with Prof. Xiaolong Wang.

My main research interest is intelligent robots (i.e., AI+Robot), which involves a broad collection of topics, e.g., deep learning, reinforcement learning, vision, control, systems design and mechanics, etc.

I had the opportunity to intern at Salesforce AI Research in summer 2025, working with Dr. Juan Carlos Niebles and Dr. Michael S. Ryoo.

Email  /  CV  /  中文简历  /  Scholar  /  Twitter (or X)  /  Github

profile photo

Research

* indicates equal contribution; † indicates equal advising

GLIDE wine-serving teleoperation demonstration Learning Beyond What Humans Can Demonstrate
Yuchen Song, Aditya Mittal, Unnat Jain
CoRL 2026
project page / code / dataset / arXiv

Agent generated, iteratively self-refined guardrails helping data collection and policy execution in real time.

DeVA affordance view in the upper-left triangle and depth view in the lower-right triangle DeVA: Decoupled Video-Action Model with physical guidance for robot policy learning
Mengqi Zhang, Sahil Khose, Simar Kareer, Yuchen Song, Unnat Jain, Judy Hoffman
In submission
project page / arXiv / code

Decoupled video-action model transfers predicted video dynamics into robot actions with affordance and depth supervision.

Anchor-Align robot rollout targeting a pink mug Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment
Dwip Dalal, Shivansh Patel, Chahit Jain, Jeonghwan Kim, Utkarsh Mishra, Yuchen Song, Hyeonjeong Ha, Alex Baratian, Heng Ji, Svetlana Lazebnik†, Unnat Jain†
In submission
project page / arXiv / code

Preserving VLM priors and aligning language predictions with action generation during VLA finetuning.

3D-Spatial Multimodal Memory
3D-Spatial Multimodal Memory
Xueyan Zou, Yuchen Song, Ri-zhao Qiu, Xuanbin Peng, Jianglong Ye, Sifei Liu, Xiaolong Wang
ICLR 2025
project page / arXiv / code

Embedding features from foundation models into 3D Gaussian Splatting by omitting redundant information in a memory bank.

WildLMa: Long Horizon Loco-Manipulation in the Wild
Ri-zhao Qiu*, Yuchen Song*, Xuanbin Peng*, Sai Aneesh Suryadevara, Ge Yang, Minghuan Liu, Mazeyu Ji, Chengzhe Jia, Ruihan Yang, Xueyan Zou, Xiaolong Wang
ICRA 2025
project page / arXiv / video / hardware

Long horizon loco-manipulation with LLM planner for wholebody imitation learning skill sets chaining.

Learning Generalizable Feature Fields for Mobile Manipulation
Ri-zhao Qiu*, Yafei Hu*, Yuchen Song*, Ge Yang, Yang Fu, Jianglong Ye, Jiteng Mu, Ruihan Yang, Nikolay Atanasov, Sebastian Scherer, Xiaolong Wang
IROS 2025
project page / arXiv

Real-time generalizable feature fields enabling mobile manipulation with open vocabulary prompts.

Projects

DS-MVSNeRF
Yuchen Song, Can Chang, Huazhe Xu
code

Adding depth supervision on Multi-View Stereo Neural Radiance Fields to reduce artificial floaters and achieve better rendering results.

Designing and Manufacturing of Robot Cars Designing & Manufacturing of Robot Cars
Undergrad Course Project
index page

Designing robot cars with Arduino or STM32 as the main control board to accomplish the assigned tasks, including line tracking, obstacle avoidance, remote controlling, ball shooting, wireless charging, object detection and grasping.


Last update: Nov. 1, 2026.

This page was adapted from Jon Barron's website template.