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YuanKJing/README.md

Junqi Jing · 荆浚淇

Undergraduate Researcher in Software Engineering
Harbin Institute of Technology · AI Research Intern at KNOWIN AI

Research Homepage  ·  Google Scholar  ·  Email

World Models · Embodied AI · Robot Learning

Editorial research map connecting perception, latent world models, and robot control

Open to research internships. I am interested in opportunities related to embodied AI, world models, and robot learning, and I would be glad to connect with research teams at leading technology companies.

Research

  • World and Action Models — learning action-conditioned representations for prediction, planning, and adaptation.
  • Vision-Language-Action and Embodied Robot Learning — grounding visual and language representations in interactive physical systems.
  • Dexterous Manipulation — developing robust and generalizable skills for multi-fingered hands.

Current

At KNOWIN AI, I work on dexterous-hand manipulation with Vision-Language-Action models and explore World Action Models for embodied intelligence.

Background

Technical toolkit

LanguagesPython · C++ · Java
ML and accelerationPyTorch · CUDA
Robotics and systemsROS 2 · Linux · Git
Scientific writingLaTeX


Connect

For research internship opportunities, technical discussions, or collaboration—particularly with industrial research teams working on embodied intelligence—reach me at xingkong8527@gmail.com or visit my research homepage.

Pinned Loading

  1. _MTID_ _MTID_ Public

    Forked from WiserZhou/MTID

    Official PyTorch Implementation of Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos Page:https://yuankjing.github.io/MTID-Project-Page/

    Python 1