An independent research institute in Tehran, working on robotic manipulation.

Three founders with 10+ year publication records, eight researchers, one goal: robots that can handle the physical world.

Grasping · perception · control · biomedical — one bench

01 — What we work on

All research →

Four programs, one bench

  • P-01

    Grasping & dexterous manipulation

    The program studies grippers and artificial fingers driven by shape memory alloy wires: their mechanism design, dynamic models and fuzzy PID control of position and grip force despite actuator hysteresis. Alongside this, computational mechanics work models layered and graded composite structures with layerwise finite elements, and non-Newtonian fluid flows with smoothed particle hydrodynamics.

    People — Vahabi · Jedari Salami · Khodayari

  • P-02

    Perception for manipulation

    The program studies machine perception from physiological signals, speech and medical images: detecting sleep arousals in EEG, predicting seizures from heart-rate variability, recognising emotion from ECG and speech, and segmenting coronary arteries in X-ray angiograms. Its questions are which representations expose subtle patterns, and which learning methods detect them reliably.

    People — Farokhi

  • P-03

    Learning-based control & sim-to-real

    Control of systems whose dynamics are only partly known: wheeled robots, quadcopter formations, magnetic levitation, electric motors and grippers driven by shape memory alloy wires. The program studies adaptive, sliding-mode and fuzzy controllers, online neural-network identification, data-driven models of human car-following, and multi-objective routing, scheduling and supply-network design under uncertain costs and demand.

    People — Khodayari · Barzamini · Kazemipoor

  • P-04

    Biomedical & surgical robotics

    The program uses finite-element and fluid-structure interaction models to study how a knee ligament and prosthesis, a heart valve, the airway and the head respond to load and flow. It also studies machine-learning methods that detect sleep arousals, predict seizures and support diagnosis from EEG, ECG and medical images.

    People — Kashaninia · Farokhi · Shojaei

02 — How we work

Claims you can check from your desk

  • Hardware-first claims

    A hardware result is announced only when it works on the bench, with the video of it working posted next to the claim.

  • Open records

    Every publication listed carries a DOI and the affiliation it was published under. Faculty records link to Google Scholar and ORCID.

  • No unverified claims

    Where evidence does not exist yet, the page leaves the claim out rather than writing a plausible sentence. That is policy, not accident.

03 — Selected publications

All publications →

DOI-linked. Every entry was published under its authors’ university affiliation, printed on the row; none was published under the institute’s name.

2011

Force control of a SMA actuated gripper by using self tuning fuzzy PID controller

Alireza Khodayari, Banafshe Zarefar, Mohammad Mahdi Kheirikhah, Ehsan Mirsadeghi · 2011 IEEE International Conference on Control System, Computing and Engineering (ICCSCE) · Mechanical Engineering Department, Islamic Azad University, Tehran, Iran · DOI:10.1109/iccsce.2011.6190543

DOI ↗ BibTeX

conference Prior affiliation
2024

Distributed safe formation tracking control of multiquadcopter systems using barrier Lyapunov function

Nargess Sadeghzadeh-Nokhodberiz, Mohammad Reza Sadeghi, Rohollah Barzamini, Allahyar Montazeri · Frontiers in Robotics and AI (vol. 11) · Department of Electrical Engineering, Islamic Azad University Tehran Central Branch, Tehran, Iran · DOI:10.3389/frobt.2024.1370104

DOI ↗ BibTeX

journal Prior affiliation
2023

Deep convolutional architecture-based hybrid learning for sleep arousal events detection through single-lead EEG signals

Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad, Alireza Kashaninia · Brain and Behavior, vol. 13, no. 6, art. e3028 · Department of Electrical Engineering, Central Tehran Branch Islamic Azad University, Tehran, Iran · DOI:10.1002/brb3.3028

DOI ↗ BibTeX

journal Prior affiliation

04 — For engineering teams

A handling step that fails is a research problem we take on contract

Bin picking that jams. Parts that deform when gripped. A cell that needs re-fixturing every batch. We take these as scoped engagements: a feasibility study with a written answer — what works, what does not, what it would take — then, if the answer is yes, a prototype with acceptance criteria. If physics says no, you get the no in writing, with reasons.

Discuss a collaboration

  1. Scoping call. Problem, constraints, success criteria. No cost.

  2. Feasibility study. Fixed scope, written report.

  3. Prototype. Statement of work — deliverables, dates, acceptance criteria.

05 — Contact

Write to us

Contact the person you would like to speak with about research or collaboration.

Tehran, Iran

Meetings by appointment. Please email your contact to confirm the time and location.