Tharun Vadakke Puthanveettil

I'm a robotics graduate student at the University of Maryland, College Park. A seasoned technology enthusiast and developer renowned with a unique storytelling ability.

🏢 Currently in the Role of Robotics Engineer at Catt Labs - My work is primarily focused on the intricate domains of Autonomous Navigation and Security for Mobile Unmanned Ground Vehicles (UGVs).

🌐 My Expertise Spans: Autonomous Navigation, Mobile UGV Security, Human-Robot Interaction, Multi-Modal Networks, Computer Vision & Cognitive Science.

📜 Research Prowess: In my previous role as a Research Assistant at the University of Maryland's esteemed Perception and Robotics Group, I dedicated myself to the fascinating domain of Multi-Modal Human-Robot Interaction, striving to foster greater synergy between humans and machines. Further enriching my journey, I played a pivotal role at the Robotics Innovations Lab at the Indian Institute of Science. Here, my efforts were centered around pioneering solutions for Human Collaborative Agricultural Robotics, a mission that holds great promise for the future of agriculture.

🚀 Leadership in AI: My journey also includes a notable chapter as an AI Team Lead at Wipro's Innovations Lab. In this capacity, I specialized in designing and implementing cutting-edge AI and Computer Vision techniques. My ability to bridge the gap between theory and practical application was a hallmark of this role.

💼 Versatility: Proficient in Machine Learning, Computer Vision, NLP, IoT, Robotics, and Mixed Reality, I bring a versatile skill set to the table, underpinned by advanced programming languages like Python and C++. Complementing my technical expertise, I hold certifications in non-technical domains such as Human Psychology, Body Language, and Micro Expressions.

🖋️ A Pinnacle Philosophy: Rooted in my core ethos is a mantra of profound simplicity, yet immense significance: "A signature in every work." I ardently believe that true eminence is achieved when one etches an indelible mark upon every endeavor.

Email / CV / Bio / Google Scholar / Linkedin / Github / Honours & Certifications

Projects & Research

My areas of interest are Machine Learning, Computer Vision, Robotics, and Cognitive Science. The following are some of my works in the mentioned domains.

	Auto Platoon project page / video A bio-inspired leader-follower framework for connected vehicle system.
	Simple Linear Iterative Clustering(SLIC) project_page Image Segmentation using SLIC.
	Implicit Neural Representation(INR) project_page Image Outpainting using Implicit Neural Representations(INR).
	Autonomous Weeding Robot(Ongoing) video A robotic manipulator-based precision weeding robot for optimizing the usage of pesticides in indoor farms.
	RAMI Cascade Campaign(IROS21) - FBM1: ORB SLAM based drone localization video An aerial robotic solution for asset Inspection and Management (I&M).
	RAMI Cascade Campaign(IROS21) - FBM2: YoloR based Surface Defect Detection video An aerial robotic solution for asset Inspection and Management (I&M).
	Monocular Depth Estimation using Transfer Learning video A Deep Learning based solution for estimating depth using monocular cameras.
	Virtual Try-on project page / video An advanced AI solution to bring down trial room drops and to provide the customer with a style quotient evaluator.
	AI Cricket Coach project page An AI-backed solution that can classify bowl types based on video feeds and provide batsmen with end-to-end coaching assistance in an enhanced WebVR environment.
	my Style project page / video An end-to-end AI-powered shopping app.
	RL Driven Cricket Game Simulation project page A 2D Cricket game simulation engine where an RL based bowler(agent) learns to bowl as per different batting styles and fielder distributions on the field, ensuring that it gives away as minimal run as possible to the batsman and at the same time takes the maximum number of wickets down.
	A Univariate Data Analysis Approach for Rainfall Forecasting GoogleScholar The main objective of this work is to create an efficient, easy-to-implement rainfall forecast system that can promptly warn and alert the people of any unexpected downpours.
	A Comparative Study of Various Classification Techniques to Determine Water Quality GoogleScholar The work focuses on determining the water quality using different classification techniques such as Decision Tree (DT), K-nearest neighbour (KNN) and Support Vector Machine (SVM) on the ground water samples of Madhya Pradesh, India.
	Prediction of Rainfall Using Data Mining Techniques GoogleScholar In this work, we use regression techniques and statistical modeling to predict the rainfall intensity of Coonoor in Nilgiris district, Tamil Nadu. It is a comparative study of various regression techniques based on the Relative error.
	Wall climbing robot using soft robotics GoogleScholar The aim of this paper is to develop a lightweight wall-climbing robot that is based on the soft-robotics concept. The robot is a prototype for inspection applications aboard the pipe inspections both inside and outside the pipe.

Take a look at Jon Barron's source code for the template of this website.