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loadmodelusingcnn

cnn in cpp

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

loco

Home of LOCO, the first scene understanding dataset for logistics.

ltamp

Learning for Task and Motion Planning (LTAMP)

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

mader

Trajectory Planner in Multi-Agent and Dynamic Environments

maplab

An open visual-inertial mapping framework.

marker_localization

A collection of tools to perform localization in an unknown environment with definited markers

mask-rcnn-pytorch

Modification of the original Mask/Faster R-CNN

mbplanner_ros

Motion-primitives Based Planner for Fast & Agile Exploration

mdp-engine

Automatically exported from code.google.com/p/mdp-engine

mecanumrobot-arduino-uno

MecanumRobot kit

mecanumrobot-arduinomega2560

MecanumRobot-ArduinoMega2560

mecanumrover_samples

メカナムローバーVer2.0 サンプルROSパッケージ

metaheuristics

mini-graph-card

Minimalistic graph card for Home Assistant Lovelace UI

mobile_robot_simulator

A simple ROS simulator for mobile robots. Simply subscribes to incoming velocity commands, and updates odometry based on this.

mocapnet

We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

modernroboticscpp

Modern Robotics: Mechanics, Planning, and Control C++ Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness. http://modernrobotics.org/

moe

A global, black box optimization engine for real world metric optimization.

monk_gui

A Graphical user Interface for deep learning and computer vision over Monk Libraries

monk_object_detection

A one-stop repository for low-code easily-installable object detection pipelines.

monosat

MonoSAT - An SMT solver for Monotonic Theories

motion_planning

Robot path planning, mapping and exploration algorithms

mozaik

Mozaïk is a tool based on nodejs / react / redux / nivo / d3 to easily craft beautiful dashboards

mpc_local_planner

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

mpt

Motion Planning Templates creates fast, parallel, robot-specific motion planners.

mqtt-camera-streamer

Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite

mqtt-control-panel

A simple alarm control panel for Home Assistant's manual_mqtt alarm. Designed to run on a Raspberry Pi using an Adafruit 3.5" PiTFT.

mqtt-data-logger

Logs MQTT Data to a file