A Hidden Semi-Markov Model based Approach for Rehabilitation Exercise Assessment
Effects of using synthesized Driving Cycles on vehicle fuel consumption
Estimating and reshaping human intention via human robot interaction
Hierarchical Control of Thermostatically Controller Loads for Primary Frequency Control
RECOGNITION AND ESTIMATION OF HUMAN LOCOMOTION WITH HIDDEN MARKOV MODELS
Markov Game Controller Design Algorithms
Inhomogeneous Markov Models for Describing Driving Patterns
Data-driven Virtual Inertia Control Method of Doubly Fed Wind Turbine
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments
Digital twins composition in smart manufacturing via Markov decision processes
Free-energy minimization in joint agent-environment systems:A niche construction perspective
Free-energy minimization in joint agent-environment systems: A niche construction perspective
Finite-Time Event-Triggered H∞ Control for T-S Fuzzy Markov Jump Systems
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots
Trajectory-Based Modified Policy Iteration
H ∞ fuzzy control of semi-Markov jump nonlinear systems under σ-error mean square stability
Building a human behavior map from local observations
Attack Impact and Misbehavior Detection in Vehicular Platoons
Hybrid Markov Game Controller Design Algorithms for Nonlinear Systems
A polynomial upper bound for the mixing time of edge rotations on planar maps
Using Learning to Control Artificial Avatars in Human Motor Coordination Tasks
The effect of multiple access categories on the MAC layer performance of IEEE 802.11p
Vision based referee sign language recognition system for the RoboCup MSL league
Joint Pedestrian Motion State and Device Pose Classification
Design and performance analysis of a heavily loaded material handling system
Inhomogeneous Markov Models for Describing Driving Patterns
Intention recognition in human machine collaborative systems
Robust H∞ filtering for networked control systems with markovian jumps and packet dropouts
Probabilistic balance monitoring for bipedal robots
Multi-Hypothesis SLAM for Non-Static Environments with Reoccurring Landmarks
Force-based robot learning of pouring skills using parametric hidden Markov models
Deep Reinforcement Learning for Autonomous Highway Driving Scenario
Dynamically consistent probabilistic model for robot motion learning
A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection