PhysiAgent: An Embodied Agent Framework in Physical World
An autonomous scaffolding framework to seamlessly integrate VLA and VLM into real-world embodied agents.
Zh1hao Wang
RL · VLA · Embodied Agents.
I am currently a second-year master's student at the School of Mechanics and Engineering Science, Peking University, advised by Professor Junzhi Yu (IEEE Fellow).
I am also a research intern at the Institute for AI Research (AIR), Tsinghua University, advised by Professor Xianyuan Zhan.
Prior to that, I earned my B.Eng. degree in Intelligent Automotive Engineering from the Harbin Institute of Technology (HIT).
My research interests focus on Embodied Intelligence, including VLA, VLM, Embodied Agents, and related areas.
News
- 05/2025: Our paper LBP (Latent space Backward Planning) has been accepted by ICML 2025!
- 04/2025: Our paper Novel ViDAR with RL-based Active SLAM has been accepted by TII 2025!
- 02/2025: Our paper UniAct has been accepted by CVPR 2025!
- 01/2025: Our paper Robo_MUTUAL has been accepted by ICRA 2025!
Research
My long-term goal is building the BRIDGE between AI and the physical world.
Efficient Robotic Policy Learning via Latent Space Backward Planning
A lightweight visuomotor policy controls robots with latent, backward, recursive subgoals.
A Novel ViDAR Device With Visual Inertial Encoder Odometry and RL-Based Active SLAM Method
A novel ViDAR device with reinforcement learning-based active SLAM method.
UniAct: Universal Actions for Enhanced Embodied Foundation Models
A new embodied foundation modeling framework operating in the Universal Action Space.
Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning
An approach for training a multimodal robotic policy via only unimodal datasets.
* Equal contribution.
Awards & Achievements
- [2025] Peking University Graduate Student Special Academic Scholarship
- [2024] 1st at AIR Summer 2024 Projects Competition
- [2024] Shandong Outstanding Graduates
- [2023] Undergraduate National Scholarship
- [2023] Huawei Intelligent Foundation Scholarship
- [2022] 1st at Formula Student Autonomous China Competition
Academic Service
- Reviewer at conferences: ICLR 2026, AAAI 2026
- Reviewer at workshops: EWM@NeurIPS 2025, WRL@ICLR 2025