Embodied evolutionary (EE) algorithm for open-ended continuous adaptation of swarm robotics.
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Updated
Feb 3, 2023 - Python
Embodied evolutionary (EE) algorithm for open-ended continuous adaptation of swarm robotics.
A Sharing Framework for Energy and Computing Resources in Multi-Operator Mobile Networks
The data-management aspect to the ideal algorithm
Simulation and Experiment Projects for the Paper "Desired Model Compensation-Based Position Constrained Control of Robotic Manipulators" using MATLAB Simulink and C
Runtime for adaptive solutions experimentation
DiffTune is a framework to automatically tune the parameters for a controller using gradient descent.
Smart Energy Policies for Sustainable Mobile Networks via Forecasting and Adaptive Control
Comparison of different control algorithms for a robotic arm. Miniprojects from the course "Control Theory in Robotics" during my 1st semester of the Master's.
Welcome to my project portfolio! I am Arham Rahim, an AI and data analysis enthusiast dedicated to leveraging technology for sustainability. This repository showcases a collection of my projects, highlighting my skills and expertise in machine learning, data analytics, and sustainable innovation.
Adaptive Control for Dynamic Weight Lifting Motor, made in Matlab with Arduino
simulating the concepts covered in the Adaptive Control Course
Code repository for "Robust adaptive model-based compensator for the real-time hybrid simulation benchmark"
This repository focused on enhancing the Active Inference Controller (AIC) for robotic manipulation tasks on an Interbotix PincherX 150 5-DOF Robot. A modified control framework called the Reactive Active Inference Controller (ReAIC) outperfors the AIC in adaptation experiments.
An algorithm composed in the arc of Cybernetics. A framework that controls a machine's behaviour subjected to constantly-changing parameters, where it remembers and adapts its operational runtime
Adaptive technology in homes for linking and integrating applications.
Algorithms adaptive control and identification
A set of tasks for "Computer Networks" university course
Python implementation of the IHOMFAC algorithm proposed in the paper "Improved High Order Model-Free Adaptive Control"
Dynamic adaptive learning for precise control of strict-feedback nonlinear systems. Harnessing TensorFlow, it seamlessly incorporates reinforcement learning techniques, such as actor-critic, ensuring efficient and resilient adaptation of the control system.
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