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My primary interests are in robotics and natural language processsing. I'm especially interested in enabling robots to learn new skills efficiently from human interactions in the unstructured world.

Basics

Name Omkar Patil
Interests Robotics, NLP, Machine Learning
Email opatil3@asu.edu
Summary My aim is to add value to society by doing impactful research and innovation. I have a strong background in Machine Learning and Robotics from my Master’s degree at IIT Madras. After graduation, I gained valuable work experience in NLP research at Wells Fargo. Currently, I have joined the PhD program at ASU and will be working in Dr. Nakul Gopalan's lab at ASU on robot learning.

Publications

  • 2024.10.31
    Compositional Few-shot Learning of Motions
    Compositional Learning Workshop @ NeurIPS 2024 | Omkar Patil, Nakul Gopalan
    A novel compositional approach called DSE- Diffusion Score Equilibrium that enables few-shot learning for novel skills by utilizing a combination of base policy priors is presented.
  • 2024.10.20
    Learning Temporally Composable Task Segmentations with Language
    IROS 2024 | Divyanshu Raj, Omkar Patil, Weiwei Gu, Chitta Baral and Nakul Gopalan
    We present an approach to identify sub-tasks within a demonstrated robot trajectory with the supervision provided by language instructions.
  • 2024.10.20
    Hardware-Software Co-Design for Path Planning by Drones
    IROS 2024 | Ayushi Dube, Omkar Patil, Gian Singh, Nakul Gopalan, and Sarma Vrudhula
    This work consists of designing a hardware-software co-design, MT+, for adapting the Mikami-Tabuchi (MT) algorithm for on-board path planning by drones in a 3D environment.
  • 2022.05.26
    Understanding metrics for paraphrasing
    Arxiv | Omkar Patil, Rahul Singh, Tarun Joshi
    We propose a novel metric ROUGE-P to measure the quality of paraphrases along the dimensions of adequacy, novelty and fluency.
  • 2021.09.23
    Document automation architectures and technologies: A survey
    Arxiv | Mohammad Ahmadi Achachlouei, Omkar Patil, Tarun Joshi, Vijayan N Nair
    This paper surveys the current state of the art in document automation in light of recent advances in artificial intelligence and deep neural networks.

Education

  • 2023.08 - 2028.05
    Doctor of Philosophy
    Arizona State University
    Computer Science
    • Planning/Learning Methods for AI
    • Knowledge Representation and Reasoning
  • 2018.07 - 2020.05
    Master of Technology
    Indian Institute of Technology, Madras
    Robotics and AI
    • Deep Learning
    • Reinforcement Learning
  • 2015.12 - 2019.12
    Bachelor of Technology
    Indian Institute of Technology, Madras
    Mechanical Engineering
    • Computational Heat & Fluid Flow
    • Design of Machine Elements

Work

  • 2023.08 - Present

    Tempe, Arizona

    Graduate Research Assistant
    Arizona State University
    Research assistant in Dr. Nakul Gopalan's lab at Arizona State University.
  • 2022.10 - 2023.07

    Bengaluru, India

    Senior Quantitative Analytics Specialist
    Wells Fargo
    Member of the Artificial Intelligence and Automation team within Corporate Model Risk.
    • Researched and implemented prompt-tuning on language models for generating different kinds of paraphrases for downstream applications such as robustness testing.
    • Collaborated with other researchers within the team to develop methodologies for evaluating model weaknesses with a special focus on text classification models.
  • 2020.08 - 2022.10

    Bengaluru, India

    Quantitative Analytics Specialist
    Wells Fargo
    Member of the Artificial Intelligence and Automation team within Corporate Model Risk.
    • Explored text generation for the task of paraphrasing and developed a new metric to evaluate the quality of paraphrases.
    • Surveyed various document automation frameworks present in literature.
    • Contributed significantly to the internal code library and made several presentations on research projects, across the group
  • 2018.05 - 2018.07

    Pune, India

    Research Intern
    Eaton
    Survey research on amorphous metals in the Additive Manufacturing team.
    • Performed extensive literature review to put forward Eaton products that could benefit from amorphous metals.
    • Enhanced cold spray simulation capability by creating a Python script for the fluid dynamics part of the simulation
  • 2017.04 - 2018.05

    Chennai, India

    Head
    Institute WebOps and MobOps
    Lead of the official mobile development team of IIT Madras.
    • Led a team of 9 students for the development of the ‘Students App’, managing a budget of ~INR 3L.
    • Increased the number of active users by ~160%, to 6500+ students, with 12000+ downloads in total.
    • Developed a sophisticated Java front-end and PHP back-end to build a secure and useful application on Android.
    • Introduced innovative features such as a complaints portal, institute-attuned timetable, and calendar

Volunteer

  • 2023.01 - Present
    Reviewer
    Conferences
    Reviewer for IROS 2024, ICRA 2025
  • 2019.11 - 2019.12
    Intern
    Madhuvan Foundation
    Non-governmental organization for the welfare of underprivileged children.
    • Quickly ramped up with the current operations of reselling scrap newspaper and facilitating education for the needy with the obtained proceeds
    • Streamlined the scrap collection under the ‘Pasti Ki Pathshala' project by creating a database of participants willing to donate scrap newspaper
    • Organized a collection drive at a local school for 800+ students to promote the idea of social welfare

Skills

Robotics
Robot Learning
Generative Modeling
Compositional Learning
Natural Language Processing
Human-robot Interaction
Robustness