Siavash Farzan

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I am an incoming Assistant Teaching Professor in the Robotics Engineering Department at Worcester Polytechnic Institute (WPI).   I recently earned my PhD in Robotics from the Georgia Institute of Technology, where I was a member of the Institute for Robotics and Intelligent Machines (IRIM).
My research focuses on solving fundamental challenges for autonomous robots to operate in unstructured and dynamic real-world settings. I have several years of experience in industry as an embedded systems engineer that informs my research, teaching, and service. I regularly teach undergraduate and graduate level courses and laboratories in the areas of Robotics, Mechatronics, Controls, and Embedded Systems.

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News

Jul '21

I will be joining the Robotics Engineering Department at WPI as an Assistant Teaching Professor, starting in Fall 2021.

Aug '20

Paper accepted at CDC '20! Check out the paper and the video!

Jul '20

In less than three months, more than than 9000 students from 149 countries have enrolled in our online Mechatronics course on edX! Check out the news here: Learning Mechatronics by Doing Mechatronics

Jun '20

Paper accepted at IROS '20! Check out the paper and the video!

Apr '20

Our lab-based online Mechatronics course is launched on edX: The Mechatronics Revolution: Fundamentals and Core Concepts

Jan '19

Paper accepted at ACC '19! Check out the paper and the video!

Jun '18

Paper accepted at IROS '18! Check out the paper and the video!

Jan '18

Paper accepted at ICRA '18! Check out the paper and the video!

Apr '17

Our research is featured on IEEE Spectrum, ASME and BBC News!

Mar '14

Paper accepted at CEC '14! Check out the paper and the video!

Jun '13

Paper accepted at IROS '13! Check out the paper and the video!
Research

My current research is focused on safety-critical motion planning and control of underactuated robotic systems, while providing formal guarantees on their performance in the presence of modeling uncertainties and disturbances. The list of publications is provided below.

Adaptive Control of Wire-Borne Underactuated Brachiating Robots Using Control Lyapunov and Barrier Functions
S. Farzan, V. Azimi, A. P. Hu, and J. Rogers
Under Review, Jul. 2021
[pdf] [video] [bibtex]

Keywords: control Lyapunov function, control barrier function, function approximation, adaptive/robust control, underactuated robotics

A Robust Time-Varying Riccati-Based Control for Uncertain Nonlinear Dynamical Systems
V. Azimi, S. Farzan, and S. Hutchinson
Under Review, Jul. 2021
[pdf] [video] [bibtex]

Keywords: Riccati equation, optimal least squares (OLS) algorithm, robust control

Cable Estimation-Based Control for Wire-Borne Underactuated Brachiating Robots: A Combined Direct-Indirect Adaptive Robust Approach
S. Farzan, V. Azimi, A. P. Hu, and J. Rogers
IEEE Conference on Decision and Control (CDC), Dec. 2020
[pdf] [video] [bibtex]

Keywords: sliding mode control, indirect adaptive estimation, direct adaptive control, underactuated robotics

Robust Control Synthesis and Verification for Wire-Borne Underactuated Brachiating Robots Using Sum-of-Squares Optimization
S. Farzan, A. P. Hu, M. Bick, and J. Rogers
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2020
[pdf] [video] [bibtex]

Keywords: sum-of-squares (SOS) optimization, semidefinite programming (SDP), robust control, underactuated robotics

Path Planning in Dynamic Environments Using Time-Warped Grids and a Parallel Implementation
S. Farzan, and G. N. DeSouza
arXiv, Mar. 2019
[pdf] [video] [bibtex]

Keywords: path planning, parallel programming, harmonic potential fields, rubber band model, GPU

Feedback Motion Planning and Control of Brachiating Robots Traversing Flexible Cables
S. Farzan, A. P. Hu, E. Davies, and J. Rogers
American Control Conference (ACC), Jul. 2019
[pdf] [video] [bibtex]

Keywords: time-varying LQR, brachiation, underactuated robotics

Tarzan: Design, Prototyping, and Testing of a Wire-borne Brachiating Robot
E. Davies, A. Garlow, S. Farzan, A. P. Hu, and J. Rogers
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2018
[pdf] [video] [bibtex]

Keywords: mechanical design, brachiation

Modeling and Control of Brachiating Robots Traversing Flexible Cables
S. Farzan, A. P. Hu, E. Davies, and J. Rogers
IEEE International Conference on Robotics and Automation (ICRA), May 2018
[pdf] [video] [bibtex]

Keywords: trajectory optimization, high-fidelity dynamic modeling, brachiation, underactuated robotics

A Parallel Evolutionary Solution for the Inverse Kinematics of Generic Robotic Manipulators
S. Farzan, and G. N. DeSouza
IEEE Congress on Evolutionary Computation (CEC), Jul. 2014
[pdf] [video] [bibtex]

Keywords: inverse kinematics, evolutionary algorithms, serial manipulators, parallel computing, Denavit-Hartenberg

From D-H to Inverse Kinematics: A Fast Numerical Solution for General Robotic Manipulators Using Parallel Processing
S. Farzan, and G. N. DeSouza
IEEE International Conference on Intelligent Robots and Systems (IROS), Nov. 2013
[pdf] [video] [bibtex]

Keywords: inverse kinematics, parallel computing, serial manipulators, Denavit-Hartenberg, POSIX threads

Teaching

I regularly teach undergraduate and graduate level courses and laboratories in the areas of Robotics, Mechatronics, Controls, and Embedded Systems. The list of recently developed courses is provided below.

Foundations of Robotics (RBE 500)

Fall 2021, WPI

Fundamentals of robotics engineering. Topics include forward and inverse kinematics, velocity kinematics, introduction to dynamics and control theory, sensors, actuators, basic probabilistic robotics concepts, fundamentals of computer vision, and robot ethics. In addition, modular robot programming will be covered, and the concepts learned will be applied using realistic simulators.

Robot Control (RBE 502)

Fall 2021, WPI

This course demonstrates the synergy between the control theory and robotics through applications and provides an in-depth coverage of control of manipulators and mobile robots. Topics include linearization, state space modeling and control of linear and nonlinear systems, feedback control, Lyapunov stability analysis of nonlinear control systems, set-point control, trajectory and motion control, compliance and force control, impedance control, adaptive robot control, robust control, and other advanced control topics. Course projects will emphasize simulation and practical implementation of control systems for robotic applications.

System Dynamics (ME 3017)

Spring 2018, Georgia Tech

Dynamic modeling and simulation of systems with mechanical, hydraulic, thermal, and/or electrical elements. Frequency response analysis, stability, and feedback control design of dynamic systems.

Service


Reviewer, IEEE Transactions on Control Systems Technology (IEEE TCST)

Reviewer, IEEE Transactions on Artificial Intelligence (IEEE TAI)

Reviewer, International Conference on Informatics in Control, Automation and Robotics (ICINCO)

Technical Program Committee, IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT 2013)

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