8 citations · 33 across the 17 of their papers we have counts for
4 papers · 2 filters
Robust Deep Learning Control with Guaranteed Performance for Safe and Reliable Robotization in Heavy-Duty Machinery
Mehdi Heydari Shahna
Today's heavy-duty mobile machines (HDMMs) face two transitions: from diesel-hydraulic actuation to clean electric systems driven by climate goals, and from human supervision towar…
Synthesis of Deep Neural Networks with Safe Robust Adaptive Control for Reliable Operation of Wheeled Mobile Robots
Mehdi Heydari Shahna, Jouni Mattila
Deep neural networks (DNNs) can enable precise control while maintaining low computational costs by circumventing the need for dynamic modeling. However, the deployment of such bla…
LiDAR-Inertial SLAM-Based Navigation and Safety-Oriented AI-Driven Control System for Skid-Steer Robots
Mehdi Heydari Shahna, Eemil Haaparanta, Pauli Mustalahti +1
Integrating artificial intelligence (AI) and stochastic technologies into the mobile robot navigation and control (MRNC) framework while adhering to rigorous safety standards prese…
Anti-Slip AI-Driven Model-Free Control with Global Exponential Stability in Skid-Steering Robots
Mehdi Heydari Shahna, Pauli Mustalahti, Jouni Mattila
Undesired lateral and longitudinal wheel slippage can disrupt a mobile robot's heading angle, traction, and, eventually, desired motion. This issue makes the robotization and accur…