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Jinjian Li's Projects

awesome-robotic-tooling icon awesome-robotic-tooling

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

d4pg-phase-3 icon d4pg-phase-3

D4PG code for space debris capture and stabilization using a manipulator

flownet2 icon flownet2

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

groundingdino icon groundingdino

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

jgcd_2021 icon jgcd_2021

Code that accompanies the paper "Spacecraft Robotic Capture and Simultaneous Stabilization Using Deep Reinforcement Learning-based Guidance", submitted for possible publication in the Journal of Guidance, Control, and Dynamics

mobilesam icon mobilesam

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

papers icon papers

Summaries of machine learning papers

pybullet-object-models icon pybullet-object-models

Collection of object models compatible with pybullet simulator https://github.com/bulletphysics/bullet3/tree/master/examples/pybullet

robots icon robots

Collection of quadrupedal robots configured to work in CHAMP development framework

segment-and-track-anything icon segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

spencer_people_tracking icon spencer_people_tracking

Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

tracking_ros icon tracking_ros

ROS compatible package for object tracking based on SAM, Cutie, GroundingDINO, YOLO-World, VLPart and DEVA

ycb_sim icon ycb_sim

MuJoCo models for YCB objects (https://www.ycbbenchmarks.com/)

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