A Modifier-Adaptation Approach to the One-Layer Economic MPC
PoinTap system: a human-robot interface to enable remotely controlled tasks
Deep Reinforcement Learning for Persistent Cruise Control in UAV-aided Data Collection
Reconstructed Droop Control for Peer Current Sharing of Battery Storage in DC Microgrids
Sampling-based Motion Planning for Uncertain High-dimensional Systems via Adaptive Control
Perspectives on Hybrid Control of the Anesthesia-Hemodynamic System in the Pandemic Context
Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning
Shared Control Framework and Application for European Research Projects
Formalizing Trajectories in Human-Robot Encounters via Probabilistic STL Inference
Robust Feedback Motion Primitives for Exploration of Unknown Terrains
Downing a Rogue Drone with a Team of Aerial Radio Signal Jammers
Protected group control system for mobile robots
Fuel-efficient flight control design for a hypersonic airliner
Encoding Human Driving Styles in Motion Planning for Autonomous Vehicles
Reinforcement Learning Control of a Forestry Crane Manipulator
LQG-Optimal versus Simple Event-Based PID Controllers
Application of a virtual inerter in active vibration control using inertial actuators
Smooth feedback construction over spherical polytopes