Wenkai Guo (郭文锴)

Hi! I'm currently a PhD student in PINE Lab at Nanyang Technological University (NTU) supervised by Professor Wang Ziwei.

Previously, I graduated as a MSc from NTU. I received my BEng in School of Automation at Southeast University, supervised by Professor Li Shihua, Professor Du Songlin, and Professor Wang Yangang.

My research interests lie in robotic foundation models and reinforcement learning. My research goal is to build trustworthy robot intelligence. Specifically, my attention is caught by: 1. Simple solution for complex problems; 2. Scalability in depth and width.

Email  /  Google Scholar  /  LinkedIn  /  GitHub

profile photo

Taken in Wien, 2026

Blogs

News

Recent Works

REMA: Efficient Online Robotic Reinforcement Learning with Explicit Manifold Alignment
Wenkai Guo, Peizhi Tang, Yukun Bai, Ziming Yan, Haoyuan Deng, Guanxing Lu, Shijie Li, Ziwei Wang
IEEE Robotics and Automation Letters (RA-L), 2026
project page / IEEE Xplore / arXiv (coming soon) / code (coming soon)

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning
Guanxing Lu, Wenkai Guo, Chubin Zhang, Yuheng Zhou, Haonan Jiang, Zifeng Gao, Yansong Tang, Ziwei Wang
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026
project page / arXiv / code

VLA-Reasoner: Empowering Vision-Language-Action Models with Reasoning via Online Monte Carlo Tree Search
Wenkai Guo*, Guanxing Lu*, Haoyuan Deng, Zhenyu Wu, Yansong Tang, Ziwei Wang
IEEE International Conference on Robotics and Automation (ICRA), 2026
project page / arXiv / code

Map-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation
Runhao Li, Wenkai Guo, Zhenyu Wu, Changyuan Wang, Haoyuan Deng, Zhenyu Weng, Yap-Peng Tan, Ziwei Wang
IEEE International Conference on Robotics and Automation (ICRA), 2026
project page / arXiv

SafeBimanual: Diffusion-based Trajectory Optimization for Safe Bimanual Manipulation
Haoyuan Deng, Wenkai Guo, Qianzhun Wang, Zhenyu Wu, Ziwei Wang
9th Conference on Robot Learning (CoRL), 2025
project page / arXiv

Academic Services

Journal Reviewer: RA-L

Conference Reviewer: ICLR, ICRA, IROS, CoRL, ICCV, AAAI


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