Wenye Yu
Robotics & Embodied AI · Ph.D. Student
I am a first-year Ph.D. student at the Machine Vision and Intelligence Group (MVIG), Shanghai Jiao Tong University, advised by Prof. Cewu Lu. I also work closely with Prof. Chuan Wen.
I received my Bachelor’s degree from the first session of Guozhi Class (held by Prof. Xiaoou Tang), Shanghai Jiao Tong University. Previously, I was a research intern at InternRobotics, supervised by Dr. Jiangmiao Pang.
My research focuses on Robotics and Embodied AI, particularly human-in-the-loop learning and efficient post-training for robotic manipulation.
News
see all →🎉 ARMADA has been accepted by RA-L 2026!
Invited talk at 3D视觉工坊.
🎉 ARMADA wins Best Paper Award at IROS 2025 HRII Workshop!
🎉 Robosplat is accepted by RSS 2025!
Selected publications
see all →ARMADA: Autonomous Online Failure Detection and Human Shared Control Empower Scalable Real-world Deployment and Adaptation
IEEE Robotics and Automation Letters (RA-L) · 2026 · Best Paper Award at IROS 2025 HRII Workshop
ARMADA is a multi-robot deployment and adaptation system with human-in-the-loop shared control, featuring an autonomous online failure detection method named FLOAT. It enables scalable deployment of pretrained policies and thereby expedites policy adaptation to novel scenarios.
Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation
Robotics: Science and Systems (RSS) · 2025
RoboSplat is framework that leverages 3D Gaussian Splatting (3DGS) to generate novel demonstrations for RGB-based policy learning in a one-shot manner, enabling robust performance across six types of visual generalization in the real world.
Learning H-Infinity Locomotion Control
Conference on Robot Learning (CoRL) · 2024 · Best Poster Award at CoRL 2024 LocoLearn Workshop
We propose H-Infinity Locomotion Control, an adversarial framework for quadrupedal robots which enhances their robustness against external forces with a performance guarantee.
Selected honors and awards
- [2025.06] Outstanding Graduates in Shanghai (Top 3%)
- [2024.06] SenseTime Scholarship (top 25 undergraduates in China)
- [2023.09] National Scholarship
- [2022.09] National Scholarship (Highest Honour for undergraduates in China)
Service
I serve as a reviewer for ICRA 2026.
Miscellaneous
Outside research, I enjoy music across Hip-Hop, R&B, Rock, Pop, and Electronic. I also follow basketball, tennis, and Formula 1, and enjoy travelling and cinematography.