2 citations · 3 across the 14 of their papers we have counts for
14 papers
A modular state-space model of human perception, cognition, and decision dynamics
Sven Schoonebeek, Carlo Cenedese, Anahita Jamshidnejad
Human-centered adaptive systems require behavioral models that are both psychologically interpretable and mathematically analyzable. Many existing predictors either operate as blac…
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…
Achieving multi uav best viewpoint coordination in obstructed environments
Mirko Baglioni, Apurva Patil, Luis Sentis +1
Wildfire suppression is a complex task that poses high risks to humans. Using robotic teams for wildfire suppression enhances the safety and efficiency of detecting, monitoring, an…
State-Dependent Dynamic Tube MPC: A Novel Tube MPC Method with a Fuzzy Model of Disturbances
Filip Surma, Anahita Jamshidnejad
Most real-world systems are affected by external disturbances, which may be impossible or costly to measure. For instance, when autonomous robots move in dusty environments, the pe…
A note on the potentials of probabilistic and fuzzy logic
Anahita Jamshidnejad
This paper mainly focuses on (1) a generalized treatment of fuzzy sets of type , where is an integer larger than or equal to , with an example, mathematical discussions,…
Mathematical Models of Theory of Mind
Maria Morão Patrício, Anahita Jamshidnejad
Socially assistive robots provide physical and mental assistance for humans via cognitive human-machine interactions. These robots should sustain long-term engaging interactions wi…
Hierarchical Integration of Model Predictive and Fuzzy Logic Control for Combined Coverage and Target-Oriented Search-and-Rescue via Robots with Imperfect Sensors
Christopher de Koning, Anahita Jamshidnejad
Search-and-rescue (SaR) in unknown environments requires precise, optimal, and fast decisions. Robots are promising candidates for autonomously performing SaR tasks in unknown envi…
Integrated Intelligent and Predictive Control: A Multi-Agent Adaptive Type-2 Fuzzy Control Architecture
Anahita Jamshidnejad, Emilio Frazzoli, Mohammad J. Mahjoob +1
We propose a novel two-layer multi-agent architecture aimed at efficient real-time control of large-scale and complex-dynamics systems. The proposed architecture integrates intelli…
Integrated Offline and Online Optimization-Based Control in a Base-Parallel Architecture
Anahita Jamshidnejad, Gabriel Gomes, Alexandre M. Bayen +1
We propose an integrated control architecture to address the gap that currently exists for efficient real-time implementation of MPC-based control approaches for highly nonlinear s…