Bryan S. Guevara

About

Bryan S. Guevara is a robotics and control systems researcher whose work spans autonomous robotics, rehabilitation engineering, and advanced control theory. His research consistently bridges the gap between theoretical algorithms and real-world implementation, with a particular focus on making sophisticated control methods accessible through simulation and open-access platforms. Guevara's most impactful contribution, a virtual reality-based framework for simulating control algorithms in standing wheelchairs, has garnered 31 citations, reflecting its significance for the rehabilitation robotics community. By enabling researchers to test assistive technologies without requiring physical hardware, this work meaningfully lowered barriers to innovation in mobility aids for people with motor disabilities. Beyond assistive technology, Guevara has made substantial contributions to aerial robotic manipulators and unmanned aerial vehicles, developing nonlinear model predictive control (NMPC) frameworks that address trajectory tracking, obstacle avoidance, and real-world uncertainty. His data-driven approaches, including adaptive NMPC with radial basis function networks, demonstrate a sophisticated understanding of how machine learning can enhance classical control strategies. His portfolio also encompasses mobile manipulators, differential drive robots, and multi-quadrotor systems, revealing a researcher with exceptional breadth. Collectively, Guevara's work represents a compelling effort to make advanced robotic systems safer, smarter, and more accessible.

Research Focus

Key Achievements

Top Papers

1. 1
   Virtual Reality-Based Framework to Simulate Control Algorithms for Robotic Assistance and Rehabilitation Tasks through a Standing Wheelchair

   31 citations · 2021
2. 2
   Dynamic Simulation and Kinematic Control for Autonomous Driving in Automobile Robots

   5 citations · 2020
3. 3
   Open-Access Platform for the Simulation of Aerial Robotic Manipulators

   4 citations · 2024
4. 4
   Optimal Control Problem of a Differential Drive Robot

   4 citations · 2020
5. 5
   Optimal control and dynamic compensation of a mobile manipulator robot

   3 citations · 2022
6. 6
   Data-Driven Model Predictive Control for Trajectory Tracking in UAV-Manipulator Systems

   3 citations · 2025
7. 7
   Adaptive NMPC-RBF with Application to Manipulator Robots

   3 citations · 2023
8. 8
   NMPC of Unmanned Aerial Manipulators Considering Obstacle Avoidance and Manipulability

   3 citations · 2023
9. 9
   Obstacle Detection with Differences of Normals in Unorganized Point Clouds for Mobile Robotics

   2 citations · 2023
10. 10
    Nonlinear MPC for Multiple Quadrotors in Dynamic Environments

    2 citations · 2022

Key Collaborators

Contact & Links