Robotics

SANDO: Safe Autonomous Trajectory Planning for Dynamic Unknown Environments
https://github.com/mit-acl/sando

Ergodic Control and Controlled Diffusion for Robot Learning: Review and Tutorial
https://arxiv.org/abs/2609.13295

CrazyFlow Simulation
https://github.com/learnsyslab/crazyflow

Isaac Lab-Arena
https://github.com/isaac-sim/IsaacLab-Arena

MIGHTY: Hermite spline-based real-time trajectory planner for single- and multi-agent UAVs and ground robots
https://github.com/mit-acl/mighty

Fast Robot Kinematics and Dynamics in JAX
https://github.com/StanfordASL/frax

Implicit Maximum Likelihood Estimation for Real-time Generative Model Predictive Control
https://arxiv.org/pdf/2603.13733

Model Predictive Control in JAX
https://github.com/iit-DLSLab/mpx

GTSAM in 5 minutes: pose-graph SLAM from scratch
https://limhyungtae.github.io/Easy_GTSAM_Tutorial/#top

RoboManipBaselines> < br>
https://isri-aist.github.io/RoboManipBaselines-ProjectPage

UW Lab builds upon the robust foundation established by Isaac Lab and NVIDIA Isaac Sim, expanding its framework to integrate a wider range of robotics algorithms, platforms, and environments
https://github.com/UW-Lab/UWLab

URLab -- MuJoCo Physics in Unreal Engine
https://github.com/URLab-Sim/UnrealRoboticsLab

Concrete Multi-Agent Path Planning Enabling Kinodynamically Aggressive Maneuvers
https://github.com/proroklab/agile-mapf

CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
https://github.com/capgym/cap-x

Kimodo: Scaling Controllable Human Motion Generation
https://github.com/nv-tlabs/kimodo

MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation
https://allenai.github.io/MolmoBot/

Describe Anything, Anywhere, at Any Moment
https://github.com/MIT-SPARK/DAAAM

MuJoco Simulation on Web Assembly with Neural netwroks
https://github.com/ttktjmt/mjswan

Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching
https://github.com/NVlabs/Fast-FoundationStereo

Robotics codes from scratch
https://rcfs.ch

mjlab provides lightweight, modular abstractions for RL robotics research and sim-to-real deployment
https://github.com/mujocolab/mjlab
https://github.com/mujocolab/anymal_c_velocity

MimicKit - A lightweight suite of motion imitation methods for training controllers
https://github.com/xbpeng/MimicKit

Project Instinct
https://project-instinct.github.io/

Learning on the Fly: Rapid Policy Adaptation via Differentiable Simulation
https://arxiv.org/abs/2508.21065

SimWorld An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds
https://simworld.org

The Mesh Navigation Stack: Efficient Mobile Robot Navigation in Uneven Terrain
https://github.com/naturerobots/mesh_navigation

Robotic World Model
https://sites.google.com/view/roboticworldmodel/home

MolmoAct: An Action Reasoning Model that reasons in 3D space
https://allenai.org/blog/molmoact

Robot Learning: A Tutorial
https://arxiv.org/abs/2510.12403

Robot Learning 2025: Foundational Models for Robotics and Scaling DeepRL
https://youtube.com/playlist?list=PLMe2pHxzxHp-UJ1jd-uuGSGK7P7Phtm-f&si=cDL8WDj4PcvuAl1n

FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching
https://arxiv.org/abs/2503.06135

Safe Flow Matching: Robot Motion Planning with Control Barrier Functions
https://arxiv.org/abs/2504.08661

Dynamics-aware Diffusion Models for Planning and Control
https://arxiv.org/abs/2504.00236

openpi robot foundation models
https://github.com/Physical-Intelligence/openpi

ROS MCP Server
https://github.com/robotmcp/ros-mcp-server

Neural Robot Dynamics
https://arxiv.org/pdf/2508.15755

A Python based lightweight robot simulator for the development of algorithms in robotics navigation, control, and learning
https://github.com/hanruihua/ir-sim

SLAM Handbook
https://github.com/SLAM-Handbook-contributors/slam-handbook-public-release

ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training
https://github.com/geyan21/ManiFlow_Policy

roboplan - Modern robot motion planning library based on Pinocchio
https://github.com/open-planning/roboplan

A brief intro to SLAM with code
https://github.com/nstathou/hello-slam