Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot learns to navigate to a random goal point in a simulated envir…

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…

Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment …

A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments

Twin-Delayed Deep Deterministic Policy Gradient network for HalfCheetahBulletEnv-v0 environment

A novel heuristics function for evaluating and selecting intermediate points in an autonomous exploration and mapping system where navigation is performed by a learned neural network.

VGG based calligraphy style transfer for handwritten numbers from MNIST dataset

Python class for creating and optimizing quadratic and cubic Bezier curves and path smoothing implementation.

SWEEP - Structure and Wall Extraction from Evacuation Plan. An openCV-based python code for extracting structured obstacles and walls from a given image. The obstacles are used to create a ROS map …

Python code for turning a .png image in a ROS map