Nima Sina

About

Dr. Nima Sina is a robotics researcher whose work centers on the control systems, kinematic modeling, and simulation of autonomous and humanoid robots. His most impactful contribution comes from his 2022 study on Automated Guided Vehicles (AGVs), which has garnered 53 citations. In this work, Dr. Sina optimized PID controllers using Particle Swarm Optimization (PSO) and the Beetle Antennae Search (BAS) algorithm, significantly improving AGV navigation and stability—a critical advancement for industries ranging from logistics to healthcare. His research also extends to humanoid robotics, where he developed a kinematic model for an eleven-link biped robot with arms, proposing a simplified algorithm for stable walking based on the Zero Moment Point (ZMP) criterion. This foundational work, though less cited, demonstrates his long-standing interest in gait generation and balance control. By bridging simulation and validation, Dr. Sina’s contributions offer practical, algorithm-driven solutions for real-world robotic autonomy, making his work a valuable reference for students and engineers advancing mobile and humanoid robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Simulation and Validation of Optimized PID Controller in AGV (Automated Guided Vehicles) Model Using PSO and BAS Algorithms

   53 citations · 2022
2. 2
   Kinematic Modeling and Simulation of Eleven-Links Biped Robot With Arms

   2 citations · 2015

Key Collaborators

Contact & Links