My research interests include Robot Learning, Perception, and AI, with an emphasis on integrating intelligent systems into robotics.
To know more about me, you can check out my CV.
Advancing photonics through deep learning by developing high-speed surrogate models for metasurface and metalens design. I specialize in using Generative models and Physics-Informed Neural Networks (PINNs) to solve complex inverse design challenges with significantly reduced computational costs.
Worked on object rearrangement problem for active vision in robotic waste sorting.
pdf | poster
What enables robotic manipulation policies to generalize across tasks, objects, and embodiments, while remaining sample-efficient?
Apex Microdevices Feb 2024 - current
Deep Learning Research Engineer
Agot Co. May 2023 - Aug 2023
Computer Vision Intern
Worcester Polytechnic Institute Jan 2022 - Dec 2023
Robotics Engineering
Kerala Technological University Aug 2017 - May 2021
Mechanical Engineering
The "Dynamic Obstacle Avoidance and Path Planning in a Hospital Environment" project evaluates three algorithms: D*, Splines with Dynamic Window Approach (DWA), and Hybrid Potential-Based Probabilistic Roadmap (HPPRM). These methods are tested in dynamic hospital settings, focusing on safe and efficient navigation.
The "Semantic Mapping for Autonomous Robots" project focuses on enabling robots to map environments with semantic understanding. Using deep learning and SLAM (Simultaneous Localization and Mapping), the robot can recognize and label objects while creating a spatial map. This approach enhances autonomous navigation.
The "NeRF: Neural Radiance Fields" project implements a method for generating 3D scenes from 2D images using neural networks. By optimizing the volumetric scene representation, NeRF produces highly realistic views from different angles. This project enhances image-based rendering.
The "My AutoPano" project automates panoramic image stitching by detecting and aligning features from multiple photos. Using computer vision techniques, it seamlessly merges overlapping images into a wide-view panorama. The project simplifies the process of generating panoramic images.
Design Considerations of Anthropomorphic Exoskeleton
Thabsheer Jafer
International Journal of Science and Research (IJSR)
FOSSEE Summer Fellowship 2020 | 
Thabsheer Jafer Machingal, Rashmi Patankar, Vineeta Ghavri, Rupak Rokade, Kannan M.Moudgalya
Indian Institute of Techology - Bombay