Name: Andres S. Chavez Armijos
Type: User
Company: Boston University
Bio: Robotics engineer with passion for machine learning, motion planning, and autonomous navigation.
Location: Boston, MA
Blog: https://chavezarmijosa.wixsite.com/chaveza9
Andres S. Chavez Armijos's Projects
An open autonomous driving platform
APM Plane, APM Copter, APM Rover source
2D Driving Simulator
test catkin meta package
Model Contraining game-theoretic solver for Connected Autonomous Vehicles (CAVs) in mixed traffic scenarios
Config files for my GitHub profile.
Personal Website
Template for Duckietown development
This project describes a comparative analysis between KD-Trees and Quadtrees.
Python simulation and hardware library for learning and control
Neural network model for classifying chest X-rays by presence of COVID-19 features
Open Source Optimization of Dynamic Multidisciplinary Systems
Documents and Codes for EC504 Fall 2019
Estimation & Control Library for Guidance, Navigation and Control Applications
PX4 Pro Autopilot Software
This is a course project for Reinforcement Learning: Theory and Algorithms, School of Mathematical Sciences, Peking University, 2018 spring.
Code for the paper @article{ author={Armijos, A. S. C. and Li, A. and Cassandras, C. G.}, title={Maximizing Safety and Efficiency for Cooperative Lane-Changing: A Minimally Disruptive Approach}, journal={26th IEEE Conf. on Intelligent Transportation Systems ITSC}, year={2023} }
Official website of our ITSC 2023 paper: A.S. Chavez Armijos, A. Li, C.G. Cassandras "Maximizing Safety and Efficiency for Cooperative Lane-Changing: A Minimally Disruptive Approach"
This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Repository for the GRAIC synthesis competition
Imitation learning implementation of openAI gym race car environment
HW2 RVLN using open AI gym
Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.