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20 changes: 10 additions & 10 deletions _pages/about.md
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---
<p style="color: #333333; font-family: 'Helvetica', sans-serif;">
I am a robotics enthusiast with a deep admiration for the pioneers of modern control theory, including
<span style="font-style: italic; color: blue;">Lev Pontryagin</span>,
<span style="font-style: italic; color: blue;">Richard Bellman</span>,
and <span style="font-style: italic; color: blue;">Rudolf Kalman</span>.
<span style="font-style: italic">Lev Pontryagin</span>,
<span style="font-style: italic">Richard Bellman</span>,
and <span style="font-style: italic">Rudolf Kalman</span>.
</p>

I am passionate about robotics, particularly in areas such as **legged robots**, **robotic manipulation**, and **autonomous driving**. My research interests include, but are not limited to, <span style="color: red;">**optimal control**</span>, <span style="color: red;">**iterative learning control**</span>, <span style="color: red;">**reinforcement learning**</span> and <span style="color: red;">**meta-learning**</span>.
I am passionate about robotics, particularly in areas such as **legged robots**, **robotic manipulation**, and **autonomous driving**. My research interests include, but are not limited to, **optimal control**, **iterative learning control**, **reinforcement learning** and **meta-learning**

<blockquote class="quote">
<p>To take risks and make mistakes.</p>
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## Education

- <i class="fa-solid fa-school"></i> **University of Michigan - Ann Arbor**<br>
<i class="fa-solid fa-graduation-cap"></i> **_M.S. - Robotics (December, 2024)_** <br>
<i class="fa-brands fa-leanpub"></i> &nbsp;<span style="color: red;">**Key Courses:** </span><br> MECHENG 564 **Linear System Theory**, AEROSP 551 **Nonlinear System & Control**, <br> <i class="fa-brands fa-github"></i> [AEROSP 740 **Model Predictive Control**](https://github.com/lihanlian/simple-mpc-cbf), <i class="fa-brands fa-github"></i> [MECHENG 599-004 **Data Driven Method for Control Systems**](https://github.com/lihanlian/trajectory-tracking-ilc), MECHENG 599-006 **Applied Optimal Control**, <br>IOE 512 **Dynamic Programming**, NAVARCH 583 **Adaptive Control** (Audit)
- **University of Michigan - Ann Arbor**<br>
**_M.S. - Robotics (December, 2024)_** <br>
**Key Courses:** <br> MECHENG 564 **Linear System Theory**, AEROSP 551 **Nonlinear System & Control**, <br> <i class="fa-brands fa-github"></i> [AEROSP 740 **Model Predictive Control**](https://github.com/lihanlian/simple-mpc-cbf), <i class="fa-brands fa-github"></i> [MECHENG 599-004 **Data Driven Method for Control Systems**](https://github.com/lihanlian/trajectory-tracking-ilc), MECHENG 599-006 **Applied Optimal Control**, <br>IOE 512 **Dynamic Programming**, NAVARCH 583 **Adaptive Control** (Audit)

- <i class="fa-solid fa-school"></i> **University of Michigan - Ann Arbor**<br>
<i class="fa-solid fa-graduation-cap"></i> **_B.S.E. - Mechanical Engineering, Minor - Computer Science (April, 2023)_** <br>
<i class="fa-brands fa-leanpub"></i> &nbsp;<span style="color: red;">**Key Courses:** </span><br> MECHENG 461 **Automatic Control**, EECS 281 **Data Structures & Algorithms**, <br>EECS 445 **Intro to Machine Learning**, EECS 492 **Intro to Artificial Intelligence**
- **University of Michigan - Ann Arbor**<br>
**_B.S.E. - Mechanical Engineering, Minor - Computer Science (April, 2023)_** <br>
**Key Courses:**<br> MECHENG 461 **Automatic Control**, EECS 281 **Data Structures & Algorithms**, <br>EECS 445 **Intro to Machine Learning**, EECS 492 **Intro to Artificial Intelligence**

<!-- This is the front page of a website that is powered by the [Academic Pages template](https://github.com/academicpages/academicpages.github.io) and hosted on GitHub pages. [GitHub pages](https://pages.github.com) is a free service in which websites are built and hosted from code and data stored in a GitHub repository, automatically updating when a new commit is made to the respository. This template was forked from the [Minimal Mistakes Jekyll Theme](https://mmistakes.github.io/minimal-mistakes/) created by Michael Rose, and then extended to support the kinds of content that academics have: publications, talks, teaching, a portfolio, blog posts, and a dynamically-generated CV. You can fork [this repository](https://github.com/academicpages/academicpages.github.io) right now, modify the configuration and markdown files, add your own PDFs and other content, and have your own site for free, with no ads! An older version of this template powers my own personal website at [stuartgeiger.com](http://stuartgeiger.com), which uses [this Github repository](https://github.com/staeiou/staeiou.github.io).

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## Robotics

- <span style="color:red">**Robotics Simulator**</span>
- **Robotics Simulator**

<i class="fa-brands fa-github"></i> [**Mujoco**](https://github.com/google-deepmind/mujoco) developed by <span style="color:blue">*Google DeepMind*</span>
<i class="fa-brands fa-github"></i> [**Mujoco**](https://github.com/google-deepmind/mujoco) developed by *Google DeepMind*
- <i class="fa-brands fa-chrome"></i> [Mujoco Bootcamp](https://pab47.github.io/mujoco.html) and corresponding tutorials that programming in both <br> <i class="fab fa-youtube"></i> [C++](https://www.youtube.com/watch?v=j1nCeqtfySQ&list=PLc7bpbeTIk758Ad3fkSywdxHWpBh9PM0G&index=6) and <i class="fab fa-youtube"></i> [Python](https://www.youtube.com/watch?v=u6tNfvLXK-I&list=PLc7bpbeTIk75dgBVd07z6_uKN1KQkwFRK) by Prof. Pranav Bhounsule.

<i class="fa-brands fa-github"></i> [**Isaac Lab**](https://github.com/isaac-sim/IsaacLab) and <i class="fa-brands fa-chrome"></i> [**Isaac Sim**](https://docs.omniverse.nvidia.com/isaacsim/latest/overview.html) developed by <span style="color:blue">*Nvidia*</span>
- <i class="fa-brands fa-chrome"></i> [Official Tutorial [Self-Paced Course]](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-03+V1) and [many others](https://learn.nvidia.com/en-us/training/self-paced-courses) by <span style="color:blue">*Nvidia*</span>
<i class="fa-brands fa-github"></i> [**Isaac Lab**](https://github.com/isaac-sim/IsaacLab) and <i class="fa-brands fa-chrome"></i> [**Isaac Sim**](https://docs.omniverse.nvidia.com/isaacsim/latest/overview.html) developed by *Nvidia*
- <i class="fa-brands fa-chrome"></i> [Official Tutorial [Self-Paced Course]](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-03+V1) and [many others](https://learn.nvidia.com/en-us/training/self-paced-courses) by *Nvidia*
- <i class="fab fa-youtube"></i> [Issac Sim Tutorial (in Korean)](https://www.youtube.com/watch?v=uRdfy5IacOg&list=PL12w7vYWefUwnjvrXZKzRrUnIpnoGXhoh) (I watched by using auto-generated English subtitles)

- <span style="color:red">**Legged Robots**</span>
- **Legged Robots**

- <i class="fab fa-youtube"></i> [Legged Robotics](https://www.youtube.com/watch?v=Am2PJmDh0GE&list=PLc7bpbeTIk74esZj1hd7LF3VYeJM3NYo5) by Prof. Pranav Bhounsule.

- <i class="fab fa-youtube"></i> [Contact-Aware Control](https://www.youtube.com/watch?v=ntvMtCwxYpw&list=PLlxR_sEKjSpRZwJ1Bv56iRfgOs-cALCwT)

- <span style="color:red">**Algorithms Related**</span>
- **Algorithms Related**

- <i class="fab fa-youtube"></i> [106B/206B Discussion](https://www.youtube.com/watch?v=dl4FUx3xLGQ&list=PLU2v_5UVjn7dQRsw4Ld4ycMXk4AxsQP2V) at <span style="color:blue">*UC Berkeley*</span>
- <i class="fab fa-youtube"></i> [106B/206B Discussion](https://www.youtube.com/watch?v=dl4FUx3xLGQ&list=PLU2v_5UVjn7dQRsw4Ld4ycMXk4AxsQP2V) at *UC Berkeley*

- <i class="fab fa-youtube"></i> [AI and Machine Learning for Robots](https://www.youtube.com/watch?v=Kf_HGHahUPM&list=PLyXDCTF4yPcQ1GozC3vPmrJuN-icTFOW0) by Prof. Wenhua Yu

## Control
- <i class="fab fa-youtube"></i> [Optimal Control (CMU 16-745)](https://www.youtube.com/watch?v=6rUdAOCNXAU&list=PLZnJoM76RM6KugDT9sw5zhAmqKnGeoLRa) by <span style="color:blue">*Prof. Zac Manchester*</span>.
- <i class="fab fa-youtube"></i> [Optimal Control (CMU 16-745)](https://www.youtube.com/watch?v=6rUdAOCNXAU&list=PLZnJoM76RM6KugDT9sw5zhAmqKnGeoLRa) by *Prof. Zac Manchester*.
- Digital Control
- <i class="fa-brands fa-chrome"></i> [ELEC 3004 Digital Linear Systems: Signals & Control](https://elec3004.uqcloud.net/2016/lectures.html) (University of Queesland)
- <i class="fa-brands fa-chrome"></i> [ECE 4540 Digital Control Systems](http://mocha-java.uccs.edu/ECE4540/) (University of Colorado)
- <i class="fab fa-youtube"></i> [Reinforcement Learning](https://www.youtube.com/watch?v=0MNVhXEX9to&list=PLMrJAkhIeNNQe1JXNvaFvURxGY4gE9k74&index=1) by <span style="color:blue">*Prof. Steve Brunton*</span>
- <i class="fab fa-youtube"></i> [Reinforcement Learning](https://www.youtube.com/watch?v=0MNVhXEX9to&list=PLMrJAkhIeNNQe1JXNvaFvURxGY4gE9k74&index=1) by *Prof. Steve Brunton*

## Optimization
- <i class="fab fa-youtube"></i> [Intro to Optimization](https://www.youtube.com/watch?v=BdXrkmbvGHY&list=PLHAS_3-nESXV6XgW53wSkZHazVE7ZkHAV) by Prof. Lewis Mitchell
- <i class="fab fa-youtube"></i> [Approximate Dynamic Programming](https://www.youtube.com/watch?v=6CaUxbFX8Oc&list=PLiCLbsFQNFAxOmVeqPhI5er1LGf2-L9I4) by <span style="color:blue">*Prof. Dimitri P. Bertsekas*</span>
- <i class="fab fa-youtube"></i> [Approximate Dynamic Programming](https://www.youtube.com/watch?v=6CaUxbFX8Oc&list=PLiCLbsFQNFAxOmVeqPhI5er1LGf2-L9I4) by *Prof. Dimitri P. Bertsekas*
- <i class="fa-solid fa-blog"></i> [Deriving the Adjoint Equation for Neural ODEs using Lagrange Multipliers](https://vaipatel.com/posts/deriving-the-adjoint-equation-for-neural-odes-using-lagrange-multipliers/#fn:2)

## Deep Learning

- <i class="fab fa-youtube"></i> [Physics Informed Machine Learning](https://www.youtube.com/watch?v=JoFW2uSd3Uo&list=PLMrJAkhIeNNQ0BaKuBKY43k4xMo6NSbBa) by <span style="color:blue">*Prof. Steve Brunton*</span>
- <i class="fab fa-youtube"></i> [Physics Informed Machine Learning](https://www.youtube.com/watch?v=JoFW2uSd3Uo&list=PLMrJAkhIeNNQ0BaKuBKY43k4xMo6NSbBa) by *Prof. Steve Brunton*
- <i class="fab fa-youtube"></i> [Natural Language Processing and Large Language Models](https://www.youtube.com/watch?v=OxCpWwDCDFQ&list=PLs8w1Cdi-zvYskDS2icIItfZgxclApVLv) by Serrano.Academy
2 changes: 1 addition & 1 deletion _portfolio/portfolio-1.md
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---
title: "<span style='color: blue;'>basic-and-fast-neural-style-transfer</span>"
title: "▪ basic-and-fast-neural-style-transfer"
collection: publications
# permalink: /publications/2023-09-20-pub1
# excerpt: 'This paper is about fixing template issue #693.'
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---
title: "<span style='color: blue;'>mujoco-playground</span>"
title: "▪ mujoco-playground"
collection: publications
# permalink: /publications/2023-09-20-pub1
# excerpt: 'This paper is about fixing template issue #693.'
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---
title: "<span style='color: blue;'>simple-mpc-cbf </span>"
title: "▪ simple-mpc-cbf"
collection: publication
# redirect_to: "https://github.com/lihanlian/simple-mpc-cbf"
---
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---
title: "<span style='color: blue;'>trajectory-tracking-ilc </span>"
title: "▪ trajectory-tracking-ilc"
collection: publication
# redirect_to: "https://github.com/lihanlian/simple-mpc-cbf"
---
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