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lijianfromearth/README.md

Hi there 👋
I am Lijian, a Research Assistant at the shanghaitech MARS Lab, working with Prof. Sören Schwertfeger.
Currently, my work is focused on Dexterous Hand Manipulation, Diffusion Models, and Quadruped Control.

Before joining ShanghaiTech, I worked at the Industrial and Commercial Bank of China Software Development Center (Beijing). I obtained my Bachelor Degree in Computer Science and Technology from Tianjin University of Finance and Economics in 2020.

Papers

High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition Datasets
Li, Jian | Xu, Bowen | Schwertfeger
ROBIO 2024

Project Experience

Generation of 6DOF Grasp Poses using Internal Constraints and Open Semantic Affordance

Utilizing Flowmatching and RL (Work in Progress)

  • Our work aims to improve the generation effect of the 2024 ICRA article Language-Conditioned Affordance-Pose Detection in 3D Point Clouds.
  • So far, our pose generation effect has far exceeded that of the article, with nearly 90% of the generated poses being correct.
LCAP Generation Effect Our Model's Effect
- Left LCAP Generation Effect - right Our Model's Effect
  • We will subsequently conduct real-world testing using the Fetch Robot

Quadruped Robot Upright Grasping Project

(Work in Progress)

  • Responsible for the training of upright balance and walking gaits for the UNITree GO2.
  • Currently I am focused on solving the upright gait and balance without commands.
  • go2stand1 go2stand2

Dexterous Hand Grasping Using 3D Gaussian Splatting

  • The project is based on the 2024 RAL paper "RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning."
  • Integrated Gaussian Splatting code into the paper's code to train a Gaussian set prediction network, accelerating Gaussian inference during RL training.
  • Developed mirroring code for actions and observations, deploying the right-hand grasping strategy to the left hand.
  • go2stand1 go2stand2

ShanghaiTech Mapping Robot SLAM Dataset

  • Collected campus datasets using the Mapping Robot and Faro.
  • Tested different encoders and their settings to find the optimal configuration in terms of compressing visual SLAM dataset results, size, quality, and encoding time.
  • Developed scripts for compressing and playing back datasets, achieving a 55x compression ratio. Produced a ROBIO paper.
  • Using the Faro dataset as ground truth, wrote a program to annotate dynamic objects by comparing point clouds from two datasets (still in progress).

Pinned Loading

  1. flutter_banner Public

    一款卡片式轮播图,下载代码即可使用

    Dart 13 1

  2. Tianjian-University-of-Finance-and-Economics-MAP Public

    Forked from mirrorUnion/Tianjian-University-of-Finance-and-Economics-MAP

    (Tianjian University of Finance and Economics )介绍天津财经大学校园信息的微信小程序

  3. arcore-home-design Public

    ar家具购物平台,个人毕业设计

    Dart 13 3

  4. ORBSLAM2-OCTOMAP Public

    C++

  5. PL-SLAM-MONO-OPENCV4 Public

    The code is modified from Harborc/PL-SLAM

    C++ 2 2