2 citations · 3 across the 14 of their papers we have counts for
6 papers · 1 filter
MPC-Guided Safe Reinforcement Learning and Lipschitz-Based Filtering for Structured Nonlinear Systems
Patrick Kostelac, Xuerui Wang, Anahita Jamshidnejad
Modern engineering systems, such as autonomous vehicles, flexible robotics, and intelligent aerospace platforms, require controllers that are robust to uncertainties, adaptive to e…
Recursive Feasibility without Terminal Constraints via Parent-Child MPC Architecture
Filip Surma, Anahita Jamshidnejad
This paper proposes a novel hierarchical model predictive control (MPC) framework, called the Parent-Child MPC architecture, to steer nonlinear systems under uncertainty towards a…
Enabling Robots to Autonomously Search Dynamic Cluttered Post-Disaster Environments
Karlo Rado, Mirko Baglioni, Anahita Jamshidnejad
Robots will bring search and rescue (SaR) in disaster response to another level, in case they can autonomously take over dangerous SaR tasks from humans. A main challenge for auton…
Model Predictive Fuzzy Control: A Hierarchical Multi-Agent Control Architecture for Outdoor Search-and-Rescue Robots
Craig Maxwell, Mirko Baglioni, Anahita Jamshidnejad
Autonomous robots deployed in unknown search-and-rescue (SaR) environments can significantly improve the efficiency of the mission by assisting in fast localisation and rescue of t…
Leveraging Systems and Control Theory for Social Robotics: A Model-Based Behavioral Control Approach to Human-Robot Interaction
Maria Morão Patrício, Anahita Jamshidnejad
Social robots (SRs) should autonomously interact with humans, while exhibiting proper social behaviors associated to their role. By contributing to health-care, education, and comp…
Fuzzy-Logic-based model predictive control: A paradigm integrating optimal and common-sense decision making
Filip Surma, Anahita Jamshidnejad
This paper introduces a novel concept, fuzzy-logic-based model predictive control (FLMPC), along with a multi-robot control approach for exploring unknown environments and locating…