Daniel Seita

Paper_Notes. This will contain my notes for research papers that I read.

deformable-ravens. Code for ICRA 2021 paper: https://arxiv.org/abs/2012.03385

rl_algorithms. I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really understanding them.

MCMC_and_Dynamics. Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)

Interview_Practice. Practice for coding interviews.

ARCSim-Installation-Instructions. How to install arc sim. http://graphics.berkeley.edu/resources/ARCSim/

Self_Study_Courses. These will be public notes for courses that I'm self-studying.

gym-cloth. Code for IROS 2020 paper: https://arxiv.org/abs/1910.04854

imitation. Python

ros-simple-examples. Some ROS code examples which hopefully are robot-agnostic.

softagent_tfn. Code for CoRL 2022 paper: https://arxiv.org/abs/2211.09006 (ToolFlowNet, for simulation envs)

softgym_tfn. Code for CoRL 2022 paper: https://arxiv.org/abs/2211.09006 (simulation environments)

IL_ROS_HSR. Code for ISRR 2019 paper: https://arxiv.org/abs/1809.09810

fast_grasp_detect. Python

dvrk-python. Code for fabric smoothing w/surgical robot https://sites.google.com/view/fabric-smoothing. Also for analyzing results since they were stored using Python 2 pickle files. No further updates are expected.

deep_learning_practice. For practicing Deep Learning frameworks. Right now, TensorFlow and PyTorch.

convex_optimization. Testing convex optimization stuff

point-clouds. Test learning from point clouds

debridement-code. Code for ICRA 2018 paper: https://arxiv.org/abs/1709.06668

ModernRobotics. Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.

dqn. Code for https://arxiv.org/abs/1910.12154

Project_Euler_in_C. C/C++ Practice, including CS 61C review and Project Euler.

gctn_physical. Physical GCTN

baselines-fork. Code for fabric smoothing https://sites.google.com/view/fabric-smoothing. No further updates are expected.

lab. A customisable 3D platform for agent-based AI research

New_MH_Test. Repository containing materials for the new MH test, along with the UAI 2017 Paper

makefiles. Testing

lsr-code. Code for paper "Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation"

Daniel_Seita_Williams_Thesis. Java

svg. Python

cloth_simulation. Classes and functions related to 3D fabric simulation

ravens-1. Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

suturing. Real time surgical suturing

deep_q_rl. Theano-based implementation of Deep Q-learning

d4rl_evaluations. Python

r-pad.github.io. :sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

d4rl. A benchmark for offline reinforcement learning.

cloth_reskin. Code for IROS 2022 paper: https://arxiv.org/abs/2207.11196

flingbot. This repository contains code for training and evaluating FlingBot in both simulation and real-world settings on a dual-UR5 robot arm setup for Ubuntu 18.04

tree_is_all_you_need. Predicting tree deformation using GNN

pytorch_geometric. Graph Neural Network Library for PyTorch

minGPT. A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

theseus. A library for differentiable nonlinear optimization

AI_Final_Project_GO. This is the code for our final project in CS 373.

DCUR. Code for the paper. https://sites.google.com/view/teach-curr/home