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The simplest diffusion model in PyTorch, with Apple M chip acceleration support.
CVPR24: Neural Visibility Field for Uncertainty-Driven Active Mapping
[CVPR 2024] Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/ab…
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 contr…
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
Rust implementation of PythonRobotics such as EKF, DWA, Pure Pursuit, LQR.
ROS streaming of images and poses to nerfstudio.
Suite of human-collected datasets and a multi-task continuous control benchmark for open vocabulary visuolinguomotor learning.
A review of papers presented at ICRA 2023, showcases the latest research and innovations in the field of robotics and automation.
SPEAR: A Simulator for Photorealistic Embodied AI Research
Active Multi-class Mapping using Semantic Shannon Mutual Information (SSMI)
Tools to load, process and visualize motion capture data
Learning based Model Prodictive Control for online iterative trajectory optimization for F1/10 autonomous racing.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
"Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv.org/abs/2007.11718
An open source repository for control, planning and navigation about control barrier functions.
[ICRA'23] DytanVO: Visual Odometry in Dynamic Environments
A playbook for systematically maximizing the performance of deep learning models.
A curated list of Visual Place Recognition (VPR)/ loop closure detection (LCD) datasets
A repository to keep track of Deep Learning based methods for visual odometry (pull requests are always welcome)
Semantic information can help CNNs to get better illuminant estimation -- a proof of concept
Pointcloud-based graph SLAM written in C++ using open3D library.