Name: Lab for Autonomous Robotics Research
Type: Organization
Bio: Lab for Autonomous Robotics Research (LARR) is a research laboratory at Seoul National University.
Location: Seoul National University
Blog: https://larr.snu.ac.kr/
Lab for Autonomous Robotics Research's Projects
Official TensorFlow implementation of the paper "Automating Reinforcement Learning with Example-based Resets"
An environment based on JSBSIM aimed at one-to-one close air combat.
Code for "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning" (NeurIPS 2022)
About Official implementation of the IROS2023 paper "DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model"
Integrated simulator and hardware controller package for UR3 manipulator
Official PyTorch implementation of the paper "Learning a Geometric Representation for Depth Estimation via Gradient Field and Contrastive Loss"
Code for "Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum" (ICML 2023)
ICM-42688-P breakout board
Intel® RealSense™ SDK
Online deadlock-free multi-agent trajectory planner using linear safe corridor (LSC)
Online multi-agent trajectory planner using linear safe corridor (LSC)
NVIDIA GPU compute task scheduling utility
A ROS implementation of ORB_SLAM2
Code for "Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation" (ICLR 2023 Spotlight)
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Intel(R) RealSense(TM) ROS Wrapper for D400 series, SR300 Camera and T265 Tracking Module
"S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning" (NeurIPS 2022)
Official code for "SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning" (ICML 2023)
Trajectory generation and simulation for multi-agent swarm
Optimal trajectory generation library given equality and inequality constraints (C++/Matlab)
auto_chaser project
바이컨 사용법
Official code for "Behavior Generation with Latent Actions"