adityaaap
Robotics enthusiast with a passion for innovation. Designing intelligent algorithms for robot autonomy. 🤖✨ Skills: C++, python, ROS, Matlab/Simulink, Linux
University of Michigan, Ann ArborAnn Arbor
Pinned Repositories
Pose-Graph-SLAM-using-GTSAM
Graph SLAM is implemented on Intel G2O Dataset
Optimization-IPOPT
This repository contains examples of solving Quadratic Programming, Non-Linear Optimization using CasADi interface in C++
Rule-Based-Optimal-Control
Project implements an approach for Autonomous Vehicle to navigate on the road using an optimal control technique. In this technique the constraints (Traffic Rules/Obstacles/Driving behavior) are given an priority order. The constraints are relaxed based on their priority to find the optimal trajectory.
Trajectory-Optimization
Implementation of RRT* algorithm followed my trajectory optimization for generating smooth trajectories for drones
Deep-Learning-based-Trajectory-Planning
Implementation of SINDy which uses a Autoencoder and SINDy model for System Identification of complex dynamics using image data for achieving Planar Pushing Task
Sampling-based-planning
PRM, RRT-Connect, RRT and RRT* implementation
Reinforcement-Learning--Obstacle-Aware-Planning
This repository contains an implementation of Proximal Policy Optimization (PPO) using StableBaselines 3 to push an object to it goal state in presence of obstacles.
A_star
A path planning algorithm implementation in python. One start location and 10 different goal location. Optimize length and cost.
catching-moving-target
The algorithm tries to catch a moving target using a weighted A* algorithm which plans into the future.
Deep_Clustering_experiment
Deep Embedded Clustering for Image Classification
adityaaap's Repositories
adityaaap/Rule-Based-Optimal-Control
Project implements an approach for Autonomous Vehicle to navigate on the road using an optimal control technique. In this technique the constraints (Traffic Rules/Obstacles/Driving behavior) are given an priority order. The constraints are relaxed based on their priority to find the optimal trajectory.
adityaaap/kalman_filter_
Basic Kalman Filter implementation with data
adityaaap/Tesse-ROS-Bridge-Simulator
Geometric Controller and Trajectory Optimization of Drone in ROS using Tesse Simulator and RViz
adityaaap/catching-moving-target
The algorithm tries to catch a moving target using a weighted A* algorithm which plans into the future.
adityaaap/Reinforcement-Learning--Obstacle-Aware-Planning
This repository contains an implementation of Proximal Policy Optimization (PPO) using StableBaselines 3 to push an object to it goal state in presence of obstacles.
adityaaap/Optimization-IPOPT
This repository contains examples of solving Quadratic Programming, Non-Linear Optimization using CasADi interface in C++
adityaaap/Sampling-based-planning
PRM, RRT-Connect, RRT and RRT* implementation
adityaaap/planning-and-optimization
An implementation of RRT* and optimization of waypoints in C++
adityaaap/Trajectory-Optimization
Implementation of RRT* algorithm followed my trajectory optimization for generating smooth trajectories for drones
adityaaap/Pose-Graph-SLAM-using-GTSAM
Graph SLAM is implemented on Intel G2O Dataset
adityaaap/Deep-Learning-based-Trajectory-Planning
Implementation of SINDy which uses a Autoencoder and SINDy model for System Identification of complex dynamics using image data for achieving Planar Pushing Task
adityaaap/kimera-dsg-lite
Implementation of Semantic SLAM and classification into Hierarchical Representation of scene
adityaaap/A_star
A path planning algorithm implementation in python. One start location and 10 different goal location. Optimize length and cost.
adityaaap/Machine-Learning
A repository consisting implementation of standard Machine Learning algorithms
adityaaap/Deep_Clustering_experiment
Deep Embedded Clustering for Image Classification