From D-H to inverse kinematics: A fast numerical solution for general robotic manipulators using parallel processing. - Siavash Farzan; Guilherme N. DeSouza (IROS, 2013)

A parallel evolutionary solution for the inverse kinematics of generic robotic manipulators. - Siavash Farzan; Guilherme N. DeSouza (IEEE Congress on Evolutionary Computation, 2014)

Modeling and Control of Brachiating Robots Traversing Flexible Cables. - Siavash Farzan; Ai-Ping Hu; Evan Davies; Jonathan D. Rogers (ICRA, 2018)

Tarzan: Design, Prototyping, and Testing of a Wire-Borne Brachiating Robot. - Evan Davies; Adam Garlow; Siavash Farzan; Jonathan D. Rogers; Ai-Ping Hu (IROS, 2018)

Feedback Motion Planning and Control of Brachiating Robots Traversing Flexible Cables. - Siavash Farzan; Ai-Ping Hu; Evan Davies; Jonathan D. Rogers (ACC, 2019)

Path Planning in Dynamic Environments Using Time-Warped Grids and a Parallel Implementation. - Siavash Farzan; Guilherme N. DeSouza (CoRR, 2019)

Cable Estimation-Based Control for Wire-Borne Underactuated Brachiating Robots: A Combined Direct-Indirect Adaptive Robust Approach. - Siavash Farzan; Vahid Azimi; Ai-Ping Hu; Jonathan D. Rogers (CDC, 2020)

Robust Control Synthesis and Verification for Wire-Borne Underactuated Brachiating Robots Using Sum-of-Squares Optimization. - Siavash Farzan; Ai-Ping Hu; Michael Bick; Jonathan D. Rogers (IROS, 2020)

Adaptive Control of Wire-Borne Underactuated Brachiating Robots Using Control Lyapunov and Barrier Functions. - Siavash Farzan; Vahid Azimi; Ai-Ping Hu; Jonathan D. Rogers (IEEE Trans. Control. Syst. Technol., 2022)

Project-Based Learning for Robot Control Theory: A Robot Operating System (ROS) Based Approach. - Siavash Farzan (CoRR, 2023)

Perception-Driven Robotic Manipulation for Packaging Stack of Envelopes: Gripper Design and Manipulation Strategies. - Rohith Venkataramanan; Zhaoyuan Ma; Jing Xiao 001; Siavash Farzan (AIM, 2024)

Learning-Based Design of Off-Policy Gaussian Controllers: Integrating Model Predictive Control and Gaussian Process Regression. - Shiva Kumar Tekumatla; Varun Gampa; Siavash Farzan (ACC, 2024)

PAAMP: Polytopic Action-Set And Motion Planning for Long Horizon Dynamic Motion Planning via Mixed Integer Linear Programming. - Akshay Jaitly; Siavash Farzan (IROS, 2024)

Semantic Segmentation for Robotic Apple Harvesting: A Deep Learning Approach Leveraging U-Net, Synthetic Data, and Domain Adaptation. - Ghokulji Selvaraj; Siavash Farzan (UR, 2024)

Unified Safety-Critical Motion Planning for Connected Non-Holonomic Agents Using an Adaptive A* and Hybrid A* Integration. - Harin Vashi; Sumeet Shanbhag; Siavash Farzan (UR, 2024)

Safety-Critical Formation Control of Non-Holonomic Multi-Robot Systems in Communication-Limited Environments. - Vishrut Bohara; Siavash Farzan (CoRR, 2024)

Adaptive Estimation-Based Safety-Critical Cruise Control of Vehicular Platoons. - Vishrut Bohara; Siavash Farzan (IEEE Trans. Veh. Technol., 2024)

Decoupled Multi-Robot Localization and Target Tracking via Dynamic Covariance Scaling and Inverse Covariance Fusion. - Chinmayee Prabhakar; Siavash Farzan (ACC, 2025)

A MILP-Based Solution to Multi-Agent Motion Planning and Collision Avoidance in Constrained Environments. - Akshay Jaitly; Jack Cline; Siavash Farzan (CASE, 2025)

NDKF: A Neural-Enhanced Distributed Kalman Filter for Nonlinear Multi-Sensor Estimation. - Siavash Farzan (CoRR, 2025)