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aboutme

This repository contains information that you may wish to know about me.

appliedmldl_ws23

This repository contain the lab tutorials for the Applied Machine and Deep Learning Course (190.015) for the Winter 2023 Semester

awesome-robotics-projects

A list of open-source, affordable, less-known, or visionary robotics projects.

book

Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"

docker-ros2-desktop-vnc

🐳 Dockerfiles to provide HTML5 VNC interface to access Ubuntu Desktop + ROS 2

elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

ev3dev.github.io

pretty web page for ev3dev

gazebo_map_creator

go1-math-motion

Go1 high level control with ROS

guide_dog_unitree_go1

I Programmed the Unitree Go1 quadruped robot dog to become an autonomous guide dog. By incorporating advanced technologies such as speech recognition, object recognition, and autonomous navigation, the robot dog will be able to help visually impaired individuals navigate their surroundings and avoid obstacles.

hdl_graph_slam

3D LIDAR-based Graph SLAM

language-planner

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

mtcc-ironl

ouster-ros

Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)

project_submission_template

This repository contains the project submission template for the Applied Machine Learning and Deep Learning Course (190.015) for the Winter 2023 Session

ros-llm

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows for swift integration, enabling your robot to operate with it in as little as ten minutes.

ros-mobile-robot

This repository contains the link to the necessary files for designing and developing ROMR (ROS-based Open-source Mobile Robot).

ros_unitree

rosgpt

rosgpt_vision

Commanding robots using only Language Models' prompts

slam-alg.-failure

This repository contains the source files for our RAAD 2023 conference paper titled "Understanding why SLAM algorithms fail in modern indoor environments."

tcc-ironl

TCC-IRoNL is a novel framework that leverages large language models (LLMs) and multi-model vision-language models (VLMs) to enable ROS-based autonomous robots to interact with humans or other entities through natural language conversation.

ultralytics_ros

ROS/ROS2 package for Ultralytics YOLOv8 real-time object detection. https://github.com/ultralytics/ultralytics

unitree_ros2

A ROS2 package for controlling the Unitree Go1 robot in both high level and low level modes