RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
- imitation-learning
- reinforcement-learning
- robotics
- simulation
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RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
NMPC, WBC, state estimation, and sim2real framework for legged robots based on OCS2 and ros-controls
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
MAVLink to ROS gateway with proxy for Ground Control Station
Toolbox for quantitative trajectory evaluation of VO/VIO
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
A small desktop robot that brings an AI coding assistant to life, physically acting out when it reads files, thinks, writes code, and finishes work.
A map representation based on 3D segments
Robotics with GPU computing
A Modular Optimization framework for Localization and mApping (MOLA)
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
AI-IMU Dead-Reckoning
Visualization framework for autonomy and robotics data encoded in XVIZ
DroneBridge is a system based on the WifiBroadcast approach. A bidirectional digital radio link between two endpoints is established using standard WiFi hardware and a custom protocol. DroneBridge is optimized for use in UAV applications and is a complete system. It is intended be a real alternative to other similar systems, such as DJI Lightbridge or OcuSync.
Gibson Environments: Real-World Perception for Embodied Agents
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Point cloud registration pipeline for robot localization and 3D perception
vibe coded supermimic within 1h, LAFAN passed within 1.5 gpuh training
A new voxel layer leveraging modern 3D graphics tools to modernize navigation environmental representations
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
Fast Robot Kinematics and Dynamics in JAX
Real-Time 3D Semantic Reconstruction from 2D data