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Seoul National University
- 39-425, Gwanak-ro 1, Gwanak-gu, Seoul, Korea 08826
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16:22
(UTC 09:00) - https://sites.google.com/view/sungbooyoon
- https://orcid.org/0000-0003-4997-5792
- in/sungboo-yoon-303662204
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robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
robomimic: A Modular Framework for Robot Learning from Demonstration
For imitation learning using real robot (PR2 only now)
Official codebase for TRILL (Teleoperation and Imitation Learning for Loco-manipulation)
A modular, real-time controller library for Franka Emika Panda robots
ilpyt: imitation learning library with modular, baseline implementations in Pytorch
⚡️ Shockingly fast imitation learning algorithms via combining online and offline data engines. ⚡️
Imitation Learning Algorithms Tutorial (Python) from scratch
Python library to control a robot from 'Universal Robots' http://www.universal-robots.com/
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Official codebase for Sirius: Robot Learning on the Job
INQUIRE: INteractive Querying for User-aware Informative REasoning
🕊️ HATO: Learning Visuotactile Skills with Two Multifingered Hands
Human-robot interaction through a visually immersive representation of the robot workspace (ROS-side backend API).
Human-robot interaction through a visually immersive representation of the robot workspace (Unity-side software application).
Public Repository for the Wrappers for ROS1 for RelaxedIK
UR10 Robot interface for controlling it with ROS
Inverse Kinematics for UR16e Robot in unity
Inverse Kinematics solver for the UR5 in Unity. Based off of the paper "Analytic Inverse Kinematics for the Universal RobotsUR-5/UR-10 Arms" by Kelsey P.Hawkins
🎓 ---- VRQuestionnaireToolkit ---- 🎓Enables the community to easily collect subjective measures in virtual environments.
😎 Awesome lists about all kinds of interesting topics
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.