Name: Rayan Bahrami
Type: User
Company: Stevens Institute of Technology
Bio: a ME doing researching in resilient control, monitoring, and learning for CPS (multi-robot systems, actuators, etc).
Location: New York Metropolitan Area
Blog: r-bahrami.github.io
Rayan Bahrami's Projects
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
A Large Quadcopter Swarm
Interface Abstraction for Motion Capture System APIs such as VICON or OptiTrack
Python tools for analyzing the robustness properties of neural networks (NNs) from MIT ACL
TBC
Comprehensive Python Cheatsheet
Important reads on Controls, ML, and Robotics
algorithms for resilient consensus and coordination of multi-agent systems with intermittent communication
Python scripts for swarming, formation control, and observer-based intrusion detection for multi-UAVs (Tello Drones)
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Modular Autopilot for Unmanned Aerial Vehicles
Converts LaTeX tags to unicode: \mathcal{H} → ℋ. Available on the web or as Automator script for the Mac.
This is a driver providing data from VICON motion capture systems. It is based on the vicon_mocap package from the starmac stacks. Additionally, it can handle multiple subjects / segments and allows to calibrate an origin of the vehicle(s) as this is somehow tedious with the VICON Tracker.
yet another VICON streamer
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors