2 citations · 3 across the 14 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…