Hello!

I'm Arghya Chatterjee, a robotics perception, planning & autonomy engineer for single & multi-agent heterogeneous systems.

Get in touch arghyame20buet@gmail.com

Background

Hello, I am Arghya Chatterjee. I am a PhD student in Intelligent Systems and Robotics at UWF and working as a Graduate Research Assistant at IHMC. I have completed my BSc. in Mechanical Engineering (Robotics Major) from Bangladesh University of Engineering & Technology (BUET). Currently, my research works are focused towards Humanoid Perception, specifically Deep Learning based Object Detection, Segmentation & 6DoF Pose Estimation for Autonomous Robotic Manipulation, 3D Camera & Lidar based SLAM for Autonomous Robot Navigation, Perceptive Locomotion for Traversability Learning over challenging terrain and Multi-Agent Mapping & Exploration in a Perceptually Degraded Environment.

● Currently Working:
Humanoid Platforms: NASA Valkyrie, DARPA Robotics Challenge Atlas from Boston Dynamics, IHMC developed Nadia.
Quadruped Platforms: MIT Mini-Chetaah
Wheeled Platforms: Clearpath Husky

● Previously Worked:
Quadruped Platforms: DARPA SubT Challenge Boston Dynamics Spot & ANYmal
Wheeled Platforms: DARPA Polaris Rover, University Mars Rover, Clearpath Husky, Lawn Mowers, Security & Surveillance Bot and Line Follower Robot
Aerial Platforms: Astrobee of International Space Station, 8-armed drone.

I have worked as an advisor and robotics engineer at Lotus Robotics. I am also one of the educators from Bangladesh and Team supervisor from BUET (part-time) at STEMX 365 for JAXA (& NASA) organized Kibo-Astrobee ISS Robot Programming Challenge. I have served as a team member of Team CoSTAR at NASA JPL in the perception group for DARPA organized SubT Challenge. I served as a Graduate Research Assistant in BUET at Mars Rover Lab under Dr. Ashikur Rahman. As a part of my work, I supervised BUET Mars Rover Team Team Interplanetar in European Space Foundation organized (& ESA patronized) European Rover Challenge (ERC) & The Mars Society organized University Rover Challenge (URC). I have some previous experience of participating in International Space related Robotics Competition (European Rover Challenge - 2019) as a Software Team Lead in the year 2019.

My work will serve the following purposes:
● Ensure safe single agent Humanoid autonomy with traversability assessment over challenging terrain.
● Ensure automatic manipulation with Humanoids of objects of interest after detection and 6DOF pose estimation.
● Ensure collaborative autonomous multi-agent navigation system with Humanoids, Quadrupeds, Wheeled Rovers and Aerial Robots to facilitate safe exploration with Advanced Perception (Vision & Lidar), Simultaneous & Mapping, Path Planning and Object Detection & Localization inside cave & mineral ores on Earth, Moon & Mars.
● Ensure reliable autonomous multi-agent collaboration & maneuvering for space satellites like Astrobee to autonomously navigate inside International Space Station and UAVs like Drones to autonomously distribute flood reliefs to humans in perceptually degraded environments.

Skills
Lng
  • Python
  • C++
  • C#
  • C
  • R
  • Matlab
  • Arduino
  • JAVA
  • JAVA S
  • HTML
  • PHP
  • CSS
  • SQL
FW
  • ROS
  • OpenCV
  • PCL
  • NV Issac SDK
  • Keras
  • Tensorflow
  • Pytorch
  • Caffe
  • CUDA
  • OpenGL
  • Kubernetes
  • .NET
  • Django
OS & IDE
  • Linux
  • Mac
  • Windows
  • Android
  • MV Studio
  • VS Code
  • CD blocks
  • Jupyter Nb
  • Atom
  • Nodejs
  • PyCharm
  • Android S
  • IntelliJ IDEA
Tool
  • Git & Github
  • Docker
  • MIPAR
  • Carla Simulator
  • Solidworks
  • Verge3D
  • Blender
  • Microsoft Airsim
  • Meshroom, Meshlab
  • Openpose3D
  • OpenDroneMap
  • Unity & UE4
  • OpenSpace
Tech.
  • RTK GPS
  • 2D & 3D LIDAR
  • 2D & 3D Camera
  • Nvidia Jetson
  • Pi & Arduino
  • 3D Printing
  • 3D Scan
  • 3D PC & Mesh
  • Video Editing
  • AR,VR & MR
  • DCNN & RNN
  • Deep Re. Learning
  • AWS & GCP
Fields
  • Autonomous Navigation
  • SLAM
  • Path Planning
  • Edge Computing
  • GPU Computing
  • Game Development
  • Simulation
  • Photogrammetry
  • Object Detection
  • Object Recognition
  • Image Segmentation
  • Pose Estimate & Track
  • Cloud Computing
Experience
Oct 2021 - Present
Advisor and Robotics Engineer, USA (Newyork)
Jul 2020 - Sept 2021
Perception Team member of Team CoSTAR, NASA JPL
Educator & Team Supervisor at STEMX 365, Bangladesh
Sept 2019 - Sept 2021
Graduate Research Assistant & Instructor, BUET
Advisor & Fellow member
Jun 2019 - Jun 2020
Head of STEM Education & Development
Jun 2019 - Jun 2020
Academic Coordinator
Jun 2017 - Sep 2019
Software Team Leader of Team Interplanetar, BUET
Jan 2017 - Mar 2017
Intern
Oct 2018 - Nov 2018
Industrial Trainee
BUET Unit Face Lead on Development and Planning
May 2018 - Apr 2020
Country Collaborator & Member
Jul 2017 - Apr 2019
Instructor, Organizer & Member
Sep 2016 - Apr 2019
President, General Secretary & Member
Jan 2016 - Apr 2019
Organizer & Member
Feb 2015 - Apr 2019
Senior Rover Mate (President), Rover Mate & Member
Research & Publications

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time.
Journal of IEEE Robotics and Automation Letters, Dec 2020.

[Publication-Document] [Video-Presentation]

ROS SLAMSPOT HUSKY Python C++SLAM tool3D Camera3D LIDAR

Waypoint Based Autonomous Navigation Based on Visual SLAM, Path Planning, AR & QR Tag Detection inside ISS.
STEMX 365, Dhaka, Bangladesh (Jan 2020 - Present)

[Research-Video] [Research-Document] [Website] [Code]

ROS SLAMPATH PLANNING ANDROID STUDIO JAVA GAZEBOAR TagQR TagOPENCV

Autonomous Navigation Based on GPS, SLAM, AR Tag and Object Detection for Safe Exploration of Rovers on Rough Terrains, Caves and Mineral Ores of Earth & Mars.
Mars Rover Lab, Dept. of ME, BUET, Bangladesh (Oct 2019 - Present)

[Outreach-Video] [Outreach-Document] [Code]

ROS SLAMGPS Tensorflow Python C++C#.NETNvidia JetsonPi & Arduino3D CameraLIDAR

Computational Investigation on Pool Boiling IR Images for Segmentation of Dry Spots Automatically and Evaluating Performance of Traditional Image Processing and Deep Neural Networks in Quantifying Dry Area Segments.
Undergrad Thesis, Dept. of ME, BUET, Bangladesh (Mar 2018 - Apr 2019)

[Video-Presentation] [Publication-Document] [Code]

Jupyter Nb Keras Tensorflow Python CudaMIPARGPU ComputingCloud Computing

Fire and Flood Fighter Octocopter (UAV) for Extinguishing Fire in Fire Affected Buildings and Areas, and Distributing Flood Reliefs to people in Flood Affected Zones.
Measurement & Control Lab, Undergrad. Project, BUET, Dhaka, BD (Mar 2017 - Feb 2018)

[Video-Presentation] [Code]

Mission Planner Keras Tensorflow Python C#.NETGPSAPMBLDC MotorESCTelemetryCameraRaspberry PIPCB Designing

Application of Arduino in designing modern electromechanical laboratory.
IEEE ICPCSI 2017, SU, Chennai, India

Arduino Nano Arduino Uno Arduino Mega Sensor Stepper MotorGear MotorServo MotorBLDC Motor

Hand Wearable Solar Powered Obstacle Detection and Safe Navigation Device for Blind People in Low Cost.
NSysS 2017, BUET, Dhaka, Bangladesh

[Publication-Document] [Code]

Arduino Sonar Sensor Vibrating MotorBattery Solar CellHand Device

Earlier Screening of Particular Disability in Children Through Mobile Application Using Microsoft Products like Azure Cloud Platform and Bing Maps Server.
Internship at Microsoft BD, Dhaka, Bangladesh (Jan 2017 - Mar 2017)

Windows Phone Microsoft Visual Studio Windows App Studio C# .NETJavaAzure CloudBing Map Server
Achievement
For Outstanding Performance in Extra-curricular Activities and Contribution
to the Society.
[Video] [Website]
Software Team Lead of Team Interplanetar at European Rover Challenge - 2019
[Video] [Website]
Team Lead of BUET Octatron of Project on Fire & Flood Fighter Octocopter
at IEEE SS12 International Project Competition & Maker Fair-2017
[Video] [Website]
Team Lead of BUET Octatron of Project on Fire & Flood Fighter Octocopter
at BUET EEE Day-2017
Team Lead of BUET Octatron of Project on Fire & Flood Fighter Octocopter
at BUET ME Festival-2017
Team Lead of BUET Igniters of Poster on Solar-Powered Obstacle Detection
Device for Blind People in Low Cost at MIST Robolution-2017
Team Lead of BUET Titans of Project on Solar-Powered Obstacle Detection
Device for Blind People in Low Cost at BUET CSE Day-2016
Elizabeth Marble Primary School, Khulna Bidyut Kendra Secondary School &
Khulna Public College
Education Board of Bangladesh, Jessore
1st in Regional Round of Science Olympiad, 1st in Regional Round of Zoology
Olympiad, 3rd in Regional & 10th in National Round of Astro-Olympiad,
3rd in Regional Round of Math Olympiad
Certification
Feb 2018
Stanford University, Coursera
Georgia Institute of Technology, Coursera
Deeplearning.ai, Coursera
Institut Mines – Télécom, Coursera
Yonsei University, Coursera
University of Edinburgh, Coursera
Khulna Power Company Limited, Bangladesh