Arghya Chatterjee

I am a Ph.D. Student in Intelligent Systems and Robotics at the University of West Florida (UWF) and Graduate Research Assistant at the Institute for Human and Machine Cognition (IHMC) advised by Dr. Robert Griffin. I work at the intersection of robotic perception and autonomy, with a focus on enabling intelligent systems to manipulate, navigate, and collaborate in cluttered real-world environments. My research areas for Humanoid, Quadruped, Wheeled & Aerial robots include:

  • Object Pose Estimation for Manipulation
  • Learning driven Manipulation for Humanoids
  • SLAM & Scene Knowledge Graph for Multi-agent Collaboration & Exploration

At IHMC lab, I contribute to advancing Model based Affordance Template driven, and Model free Learning driven manipulation and Scene Knowledge Graph based locomotion with humanoids to support autonomous interactive indoor building exploration, and outdoor terrestrial and space exploration missions.

Email: achatterjee [at] ihmc [dot] org
Office: 40S Alcaniz Street, IHMC Robotics Lab, Pensacola, FL 32502, US.

Sponsors

Featured Research

A Behavior Architecture for Fast Humanoid Robot Door Traversals

Duncan Calvert, Luigi Penco, Dexton Anderson, Tomasz Bialek, Arghya Chatterjee, Bhavyansh Mishra, Geoffrey Clark, Sylvain Bertrand, Robert Griffin
RAS 2025
Video  •   Paper  •   Code

An Addendum to NeBula: Toward Extending Team CoSTAR’s Solution to Larger Scale Environments

Benjamin Morrell, Kyohei Otsu, Ali Agha, David Fan, Sung Kim, Muhammad F. Ginting, Xianmei Lei, Jeffrey Edlund, Seyed Fakoorian, Amanda Bouman, Arghya Chatterjee et al
TFR 2024
Website  •   Video  •   Paper  •   Code

Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge

Kamak Ebadi, Lukas Bernreiter, Harel Biggie, Gavin Catt, Yun Chang, Arghya Chatterjee et al
TRO 2023
Video  •   Paper

LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-scale Environments

Yun Chang, Kamak Ebadi, Christopher E Denniston, Muhammad Fadhil Ginting, Antoni Rosinol, Andrzej Reinke, Matteo Palieri, Jingnan Shi, Arghya Chatterjee, Benjamin Morrell, Ali-akbar Agha-mohammadi, Luca Carlone
ICRA 2022
Video  •   Paper  •   Code

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

Matteo Palieri, Benjamin Morrell, Abhishek Thakur, Kamak Ebadi, Jeremy Nash, Arghya Chatterjee, Christoforos Kanellakis, Luca Carlone, Cataldo Guaragnella, Ali-akbar Agha Mohammadi
ICRA 2021
Webpage  •   Video  •   Paper  •   Code

Computational Investigation on Pool Boiling IR Images with Convolutional Neural Networks (CNN)

Arghya Chatterjee
BSc. Thesis 2019
Video  •   Thesis  •   Code

Application of Arduino in Designing Modern Electromechanical Laboratory

Arghya Chatterjee, Musanna Galib, M.A. Rashid Sarkar
ICPCSI 2017
Video  •   Paper  •   Code

Obstacle Detector For Blind People with Low Cost

Arghya Chatterjee, Shantanu Dutta Nitun, Porag Sarker, A. B. M. Alim Al Islam
NSysS 2017
Poster  •   Code

Grants & Funding