Pinned Repositories
3D-Indoor-Mapping-and-Object-Segmentation
This repository showcases our project, presenting an innovative approach to 3D Indoor Mapping and Object Segmentation. With a primary focus on robot navigation in complex environments, we introduce a methodology that uses RGB images for mapping and object segmentation by integrating SimpleRecon and Point-Voxel CNN for efficient scene reconstruction
Adaptive-Neural-Network-Based-Control-of-Autonomous-car-in-AirSim
This repository highlights the integration of neural network-based control with PID and MPC approaches in the AirSim simulator to enhance steering inputs for autonomous vehicles. Employing imitation learning and a hybrid neural network architecture, the project aims to create a robust and unbiased model for improved autonomous vehicle control.
ARIAC-AgileRoboticsforIndustrialAutomationCompetition2023
This repository documents our participation in the ARIAC (Agile Robotics for Industrial Automation Challenge) 2023, conducted by NIST (National Institute of Standards and Technology) as part of the ENPM-663 course. It showcases our innovative solutions to various agility challenges.
Birds-Eye-View-Trajectory-Prediction-for-Autonomous-Driving
This repository contains our work on a comprehensive investigation on motion prediction for Autonomous Vehicles using the PowerBEV framework and a Multi-Camera setup. Validated trajectory forecasting capabilities on the NuScenes, Woven and Argoverse datasets and identified challenges in model generalization across these datasets.
CMSC828I-Advanced-Techniques-in-Visual-Learning-Recognition
This repository, contains my academic work for the Fall 2023 CMSC828I course. It includes assignments, projects, and relevant documentation covering various aspects of computer vision and recognition.
CMSC848F-3D-Vision
This repository contains my paper reviews, solutions and code submissions for projects completed as part of CMSC848F during Fall 2023. Each project is organized in its own folder, with accompanying documentation and any necessary resources.
Enhanced-Path-Planning-through-Comparative-Analysis-of-RRT-and-Its-Variants-on-TurtleBot-in-Gazebo
Developed Autonomous Robot Planning with RRT, RRT*, RRT*smart, and RRTconnect Algorithms, validated on 2D maps as well as 3D simulation of Turtlebot3 in Gazebo within a Custom Maze Environment.
ENPM809K-Fundamentals-for-Artificial-Intelligence-and-Deep-Learning
This repository contains my solutions and code submissions for assignments and projects completed as part of ENPM809K during Fall2023. Each assignment is organized in its own folder, with accompanying documentation and any necessary resources.
Mobile-Manipulator-Robot-modeling-and-simulation-using-Gazebo-ROS-Noetic-
This repository showcases my project focused on implementing a pick and place operation using a 9 Degrees of Freedom (DOF) mobile manipulator robot in Gazebo, along with Rviz visualizations. The application is geared towards cleaning in compact and cluttered environments.
Reinforcement-Learning-for-Autonomous-Navigation-using-Deep-Q-Network-and-Twin-Delayed-DDPG
This repository hosts the implementation of autonomous vehicle navigation using RL techniques, with a specific emphasis on Deep Q-Networks (DQN) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. We focus on training a TurtleBot3 robot to navigate autonomously through environments while intelligently avoiding moving obstacles.
Rishikesh-Jadhav's Repositories
Rishikesh-Jadhav/Reinforcement-Learning-for-Autonomous-Navigation-using-Deep-Q-Network-and-Twin-Delayed-DDPG
This repository hosts the implementation of autonomous vehicle navigation using RL techniques, with a specific emphasis on Deep Q-Networks (DQN) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. We focus on training a TurtleBot3 robot to navigate autonomously through environments while intelligently avoiding moving obstacles.
Rishikesh-Jadhav/Enhanced-Path-Planning-through-Comparative-Analysis-of-RRT-and-Its-Variants-on-TurtleBot-in-Gazebo
Developed Autonomous Robot Planning with RRT, RRT*, RRT*smart, and RRTconnect Algorithms, validated on 2D maps as well as 3D simulation of Turtlebot3 in Gazebo within a Custom Maze Environment.
Rishikesh-Jadhav/Birds-Eye-View-Trajectory-Prediction-for-Autonomous-Driving
This repository contains our work on a comprehensive investigation on motion prediction for Autonomous Vehicles using the PowerBEV framework and a Multi-Camera setup. Validated trajectory forecasting capabilities on the NuScenes, Woven and Argoverse datasets and identified challenges in model generalization across these datasets.
Rishikesh-Jadhav/Adaptive-Neural-Network-Based-Control-of-Autonomous-car-in-AirSim
This repository highlights the integration of neural network-based control with PID and MPC approaches in the AirSim simulator to enhance steering inputs for autonomous vehicles. Employing imitation learning and a hybrid neural network architecture, the project aims to create a robust and unbiased model for improved autonomous vehicle control.
Rishikesh-Jadhav/ARIAC-AgileRoboticsforIndustrialAutomationCompetition2023
This repository documents our participation in the ARIAC (Agile Robotics for Industrial Automation Challenge) 2023, conducted by NIST (National Institute of Standards and Technology) as part of the ENPM-663 course. It showcases our innovative solutions to various agility challenges.
Rishikesh-Jadhav/Mobile-Manipulator-Robot-modeling-and-simulation-using-Gazebo-ROS-Noetic-
This repository showcases my project focused on implementing a pick and place operation using a 9 Degrees of Freedom (DOF) mobile manipulator robot in Gazebo, along with Rviz visualizations. The application is geared towards cleaning in compact and cluttered environments.
Rishikesh-Jadhav/3D-Indoor-Mapping-and-Object-Segmentation
This repository showcases our project, presenting an innovative approach to 3D Indoor Mapping and Object Segmentation. With a primary focus on robot navigation in complex environments, we introduce a methodology that uses RGB images for mapping and object segmentation by integrating SimpleRecon and Point-Voxel CNN for efficient scene reconstruction
Rishikesh-Jadhav/Car-Velocity-Estimation-using-OpticalFlow-DL
This repository is dedicated to Optical Flow-based Velocity Estimation for car motion analysis. The project incorporates classic algorithms such as Lucas-Kanade and Farneback, along with advanced deep learning approaches like RAFT. Additionally, it includes a hardware implementation on a robot rover, utilizing Raspberry Pi and Pi Camera.
Rishikesh-Jadhav/Multi-Modal-Image-Generation-using-Grounding-DINO-SAM-and-Stable-Diffusionv2
A project to combine Grounding-DINO with Meta AI's Segment Anything Model (SAM) and Stable Diffusion for image manipulation using prompts. The plan is to integrate these techniques and deploy the model on Hugging Face with a Gradio interface for users to detect, segment regions and inpaint them in images.
Rishikesh-Jadhav/Simulation-and-Technical-Report-on-Adaptive-control-for-UAVs-equipped-with-a-robotic-arm
This repository contains my group project where we conducted simulations on adaptive control for Unmanned Aerial Vehicles (UAVs) equipped with a robotic arm. Additionally, we wrote a technical report on the project.
Rishikesh-Jadhav/ENPM662-Robot-Modeling
This repository contains my work done in Robot modelling where I built CAD models converted to URDF and imported in gazebo to perform tasks ranging from robot exploration to pick and place with mobile manipulation.
Rishikesh-Jadhav/ENPM673-Perception-for-Autonomous-Robots
This repository houses my code submissions and reports from projects and the Midterm exam for the course - ENPM673 in Spring 2023. Each Project is neatly organized in its own folder, complete with documentation and required resources. It provides a overview of my work done in this course
Rishikesh-Jadhav/CMSC848F-3D-Vision
This repository contains my paper reviews, solutions and code submissions for projects completed as part of CMSC848F during Fall 2023. Each project is organized in its own folder, with accompanying documentation and any necessary resources.
Rishikesh-Jadhav/Vit-Paper-replication-from-scratch-on-Custom-Dataset
This repository houses my notebook for replicating the paper on Vision Transformers from scratch. The replication is performed on a custom version of an Indian Food dataset, tailored specifically for a classification task.
Rishikesh-Jadhav/CMSC828I-Advanced-Techniques-in-Visual-Learning-Recognition
This repository, contains my academic work for the Fall 2023 CMSC828I course. It includes assignments, projects, and relevant documentation covering various aspects of computer vision and recognition.
Rishikesh-Jadhav/ENPM661-Planning-for-Autonomous-Robots
This repository showcases my work in Planning for Autonomous Robots, focusing on planning techniques applied to industrial robots such as KUKA. The work involves leveraging Moveit in Gazebo for proficient execution of pick and place operations. Throughout the course, I also learned various 2D search algorithms, ranging from A* to RRT and its types.
Rishikesh-Jadhav/ENPM809K-Fundamentals-for-Artificial-Intelligence-and-Deep-Learning
This repository contains my solutions and code submissions for assignments and projects completed as part of ENPM809K during Fall2023. Each assignment is organized in its own folder, with accompanying documentation and any necessary resources.
Rishikesh-Jadhav/F1-Car-CAD_Modeling-and-Simulation-in-Gazebo
This repository my F1 car project where I create a CAD model of an F1 car. I then convert it to URDF, import it into Gazebo, and conduct simulations. Additionally, I visualize the model in RViz.
Rishikesh-Jadhav/Food-Classification-App
This repository hosts the files and notebooks for my Food Classification App. The application is built using Gradio and deployed on Hugging Face. Explore the code and documentation to understand the implementation and feel free to contribute or use it for your own projects.
Rishikesh-Jadhav/Rishikesh-Jadhav.github.io
Rishikesh-Jadhav/AI-and-Machine-Learning-on-Google-Cloud
This repository showcases two machine learning projects using Google Cloud's BigQuery ML and Natural Language API to predict visitor purchases and perform entity and sentiment analysis on textual data.
Rishikesh-Jadhav/Building-Recommendation-Systems-on-Google-Cloud
Rishikesh-Jadhav/Heart-Disease-Classifier
Rishikesh-Jadhav/LLM-and-RAG-based-Chat-Application-with-AlloyDB-and-Vertex-AI
This repository showcases an implementation of a chat application leveraging the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). By integrating AlloyDB and Vertex AI, the application delivers precise, contextually relevant responses to flight and airport inquiries.
Rishikesh-Jadhav/Machine-Learning-Practice-Projects
This repository contains my end to end ML practice projects as a part of the ML zero to mastery course by Daniel Bourke and Andrei Neagoie
Rishikesh-Jadhav/Rishikesh-Jadhav
Rishikesh-Jadhav/Robot-Learning
This repository contains my solutions and code submissions for assignments and projects completed as part of ENPM690 during Spring 2024. Each assignment is organized in its own folder, with accompanying documentation and any necessary resources.
Rishikesh-Jadhav/VertexAI-Loan-Risk-Prediction
This project implements Google Cloud's Vertex AI to develop a machine learning model that predicts loan repayment risks using a tabular dataset. It encompasses data preparation, model training, evaluation, deployment, and prediction processes.
Rishikesh-Jadhav/Video-Compression-and-Future-Prediction-Using-GPT
This repository presents a project focused on advanced video compression and future prediction using Generative Pre-trained Transformer (GPT) and other state-of-the-art techniques.
Rishikesh-Jadhav/Virtual-X-Ray-Vision-App-for-Medical-Imaging
This repository contains my project on medical image segmentation using the UW-Madison GI Tract dataset. It will use a Segformer, and include a Gradio app for user-friendly image inference. The model will be deployed on HuggingFace Spaces for easy accessibility, encouraging contributions to advance medical image segmentation in healthcare domain.