Experience

Research Intern

Dexmal (原力灵机)

Mentored by Shuaicheng Liu. Reproduced SOTA manipulation algorithms (ACT, DP, DP3, pi0, RDT, X-VLA). Conducted research on bimanual manipulation with 3D representations. Organized X-VLA evaluations on RoboChallenge benchmark across ALOHA, Franka, UR5, and ARX5 platforms. Performed large-scale distributed hyperparameter tuning on 48 NVIDIA H20 GPUs.

Research Intern

MEGVII (旷视科技)

Mentored by Shuaicheng Liu. Developed high-fidelity simulation pipeline integrating PyBullet with Blender rendering. Investigated multimodal alignment and representation learning for contact-rich manipulation tasks. Secured 1st Place in ManiSkill-ViTac Challenge (CVPR 2025).

Education

Ph.D. in Computer Science and Technology

Sichuan University

B.Eng. in Software Engineering

Sichuan University

Skills
Technical Skills
Python / PyTorch
Robot Learning (VLA / IL / RL)
3D Vision & Point Cloud
Simulation (PyBullet / Blender)
Robotics Platforms
ALOHA (Cobot Magic / DOS-W1)
Franka / UR5 / ARX5
Teleoperation & Data Collection
Awards
1st Place - ManiSkill-ViTac Challenge Track 1
6th Annual Embodied AI Workshop, CVPR 2025 ∙ June 2025
Developed unified multimodal visuotactile representation with imitation learning and reinforcement learning for closed-loop control.
1st Place - ManiSkill-ViTac Challenge Track 3
6th Annual Embodied AI Workshop, CVPR 2025 ∙ June 2025
Optimized tactile sensor surface geometry and marker distributions to maximize signal discriminability.
1st Prize - RoboTwin Challenge, Simulation Round 1
2nd MEIS Workshop, CVPR 2025 ∙ June 2025
Dual-arm VLA models for imitation learning in simulated bimanual collaboration.
1st Prize - RoboTwin Challenge, Real-World Track
2nd MEIS Workshop, CVPR 2025 ∙ June 2025
Dual-arm VLA models for real-world bimanual collaboration with data collection and deployment.
2nd Prize - RoboTwin Challenge, Simulation Round 2
2nd MEIS Workshop, CVPR 2025 ∙ June 2025
All-in-One VLA model for generalized multi-task bimanual manipulation in simulation.
Languages
100%
Chinese Native
80%
English Fluent