Noushad Sojib

Robot Learning Engineer building robust policies from imperfect human demonstrations. Focused on imitation learning, VLA models, and diffusion policies for real-world robotic systems.

M.Sc. in Computer Science from the University of New Hampshire (Cognitive Assistive Robotics Lab). B.Sc. from SUST, where I founded a robotics club and built humanoid robots from scratch.

Currently seeking roles in robot learning and real-world robotic systems.

Resume  /  Email  /  GitHub  /  Google Scholar  /  LinkedIn

profile photo

Robot Learning
robot learning robot learning robot learning
What I did:
  • Implemented Diffusion Policy from scratch for educational clarity. GitHub
  • Trained and fine-tuned policies using Diffusion Policy, π0.5, and OpenVLA
  • Designed a frequency-domain (FFT-based) method to detect and remove low-quality demonstrations (~300× faster than prior work). Manuscript under review.
  • Collected 1,000+ demonstrations from 30 non-expert users across simulation and real robots
  • Created a behavior cloning tutorial (GitHub) and VLA getting-started tutorial. (GitHub)
Publications:
  • Self Supervised Detection of Incorrect Human Demonstrations — IROS 2024
  • Self-Supervised Visual Motor Skills via Neural Radiance Fields — IROS 2023



Robot From Scratch

Limited access to robotic platforms led me to build robots from scratch and found RoboSUST, where I led the design and deployment of low-cost robotic systems.

project image

Ribo — 24 DOF Humanoid Robot



Designed and built a full humanoid robot capable of upper-body manipulation and human-interactive behaviors.

Role: Team Lead — hardware, software, and interaction interface
Publication at IEEE R10-HTC 2017 /

Key Contributions: Led hardware and software development of a 24 DOF humanoid platform. Implemented control for coordinated arm and hand motion. Designed user-facing interaction interface.
project image

Lee: A biped walking robot



Built a biped robot focused on achieving stable walking with minimal hardware cost.

Role: Team Lead — mechanical design, gait control, and software

Key Contributions: Designed mechanical structure for balance and locomotion. Implemented basic gait generation and control. Optimized for low-cost components.
project image

Kiddo



Interactive educational robot designed to engage children through programmable behaviors—built and validated in both simulation and physical hardware.

Role: Solo Designer & Developer
Publication at IEEE IRCE 2020 /




Hardware Design

Experience building robots from scratch led me to design embedded systems that support reliable deployment, with multiple systems published and used on research platforms.

project image

3Wheel Mouse



Three-wheeled input device that enables efficient, versatile non-visual computer interaction for blind users.

Role: Designer & Prototype Builder — published at ACM UIST 2024

Islam, Md Touhidul, et al. “Wheeler: A three-wheeled input device for usable, efficient, and versatile non-visual interaction.” ACM UIST 2024. Paper & Video
project image

Charging Dock



Robust, low-cost autonomous charging dock for mobile robots—enabling continuous operation without human intervention.

Role: Designer & Prototype Builder — demonstrated live at IROS 2023, deployed on Hello Stretch

Live demonstrated at IROS 2023. An extended version is actively used with the Hello Stretch robot. See example
project image

Lowcost Braille Display



Low-cost single-cell Braille display that makes digital Bangla text accessible to visually impaired readers.

Role: Designer & Prototype Builder — published at IEEE ICBSLP 2018

Sojib, Noushad, and M. Zafar Iqbal. “Single cell bangla braille book reader for visually impaired people.” IEEE ICBSLP 2018. Paper




Design and source code from Jon Barron's website