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21 search results found

Kornia ⭐ 9,066

Geometric Computer Vision Library for SpatialAI

A lightweight C++ machine learning library for embedded electronics and robotics.

Neural Network Lyapunov ⭐ 118

Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.

Evdodgenet ⭐ 92

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras

Nfl_veripy ⭐ 63

Formal Verification of Neural Feedback Loops (NFLs)

Closedloopreachability.jl ⭐ 42

Reachability analysis for closed-loop control systems

Neural-Kalman GNSS/INS Navigation for Precision Agriculture

Sim2real_drone_racing ⭐ 31

A Framework for Zero-Shot Sim2Real Drone Racing

GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight

Multiagent_gnn_policies ⭐ 21

Learning multi-agent policies for flocking using graph neural networks

Tinyodom ⭐ 20

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

Haptic_transformer ⭐ 13

Implemenatation of HAPtic TRansformer used in task of terrain classification from force/torque data.

Neural_networks_for_computer_vision ⭐ 13

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Robotic_arm ⭐ 12

Forward and Inverse Kinematics for Robotic Manipulator

Follow Me ⭐ 11

Deep learning architecture to help a drone target and follow people

Panda Autograsp ⭐ 10

An autonomous grasping solution for the Emika Franka Panda robot.

Te3002b_intelligent_robotics_implementation ⭐ 10

Deepepisodicmemory ⭐ 10

Deep neural network architecture for representing robot experiences in an episodic-like memory which facilitates encoding, recalling, and predicting action experience - Research Project at KIT's High Performance Humanoids Technologies Lab (H2T)

Self Driving Robot Using Neural Network ⭐ 9

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using m

Robot With Deep Neural Network

Fetch Bot ⭐ 8

AI based robot with image processing.

Nico Software ⭐ 7

Software to run the NICO (Neuro Inspired COmpanion) robot

Robond Deeplearning Project ⭐ 7

This is my implementation of the Udacity Robotics Nanodegree Deep Learning Project, wherein we devise and train a Fully Convolutional Deep Neural Network to perform image segmentation and object recognition given 2-dimensional image training data. The objective being enabling a drone to identify and follow a target person in a simulated environment

Deeplearningdronesimulator ⭐ 7

This project is about training a deep neural network to identify and track a target in simulation so-called “follow me”. Applications like this are key to many fields of robotics and the very same techniques you apply here can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration in industry.

Localizer ⭐ 7

An object detection python library predicting object coordinates and orientation angles on 2d images.

Parrot Bebop2 Setup ⭐ 6

Bebop 2 custom firmware

Study_resources ⭐ 6

A list of every article, paper, videos I study from.

A LEGO® Sorting Machine

Goselo_caffe ⭐ 5

Deeprl Ai ⭐ 5

Deep Reinforcement Learning and Artificial Intelligence in Robotics

Inn_continuum_robot ⭐ 5

Repository for "Inverse Kinematics of Tendon Driven Continuum Robots using Invertible Neural Network" (CompAuto 2022)

Emg_signalclassification ⭐ 5

Preprocessing and classify EMG signals, using Tensorflow and Tensorflow Lite to deploy an AI model in a ESP32C3

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