Ahana Datta

Exploring the logic behind intelligent behavior.

ahana_kawa.jpeg

I’m currently a Software Engineer at Google India.

My research focuses on advancing Embodied AI — developing intelligent agents capable of commonsense reasoning to perform household tasks effectively in dynamic environments.

I’m especially interested in research at the intersection of robotics, cognitive science, and AI planning. My goal is to bridge the gap between AI systems and human-like reasoning.

I completed my Bachelors and Masters in Computer Science and Engineering at the International Institute of Information Technology, Hyderabad (IIIT-H), where I was a researcher at the Robotics Research Centre (RRC), advised by Prof. K. Madhava Krishna. I collaborated with Prof. Mohan Sridharan from the University of Edinburgh and Dr. Krishna Murthy Jatavallabhula from MIT CSAIL. I’ve published and presented my papers at leading robotics conferences such as IEEE ICRA and RO-MAN.


News

Jul, 2024 Joined Google India as a Software Engineer.
Jul, 2024 Graduated from IIIT Hyderabad with Bachelors and Masters in Computer Science and Engineering.
Jun, 2024 Defended my MS thesis Navigating the Multiverse: Enhancing Robotic Assistance through Multi-Object Navigation and Object Location Optimization.
Jan, 2024 Our work on LLM-based task planning accepted at IEEE ICRA 2024.
Sep, 2023 Received Research Award from IIIT-H for outstanding research prowess as an undergraduate student.
Jun, 2023 Our work on Multi-modal graph networks for Object-room affinities accepted at IEEE Ro-MAN 2023.
May, 2023 Presented our work on Multi-Object Navigation at IEEE ICRA 2023 in London, UK.
Jan, 2023 My first paper as a first co-author on Multi-Object Navigation accepted at IEEE ICRA 2023.

Selected Publications

  1. Sequence-Agnostic Multi-Object Navigation
    Nandiraju Gireesh*, Ayush Agrawal*, Ahana Datta*, Snehasis Banerjee, and 3 more authors
    In 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023
  2. Anticipate & Act: Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments†
    Raghav Arora, Shivam Singh, Karthik Swaminathan, Ahana Datta, and 5 more authors
    In 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024
  3. CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities
    Ayush Agrawal, Raghav Arora, Ahana Datta, Snehasis Banerjee, and 4 more authors
    In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023