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Automated Activity Recognition with Gait Positions Using Machine Learning Algorithms
Joint Pedestrian Motion State and Device Pose Classification
Detecting lies is a child (robot)'s play: gaze-based lie detection in HRI
FRAMH: A Federated Learning Risk-Based Authorization Middleware for Healthcare
Path Following using Frequency Modulated Continuous Wave millimetre-wave Automotive Radar
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An >In Silico Validation
Assessing the Role of Machine Learning in Robotics
A cooperative machine learning approach for pedestrian navigation in indoor IoT
Model learning for trajectory tracking of robot manipulators
Task level disentanglement learning in robotics using βVAE
Gradient Methods for Solving Stackelberg Games
Supervised Methods for Fault Detection in Vehicle
Deep learning based keypoint rejection system for underwater visual ego-motion estimation
Human–Robot Interaction Based on Motion and Force Control
NexusStreets: a dataset combining human and autonomous driving behaviours
UWB-INS Fusion Positioning Based on a Two-Stage Optimization Algorithm
Machine Learning for Soft Robot Sensing and Control: A Tutorial Study
Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings
Design and Development of an Autonomous Car using Object Detection with YOLOv4
Dimensioning V2N services in 5G networks through forecast-based scaling
A Novel Trajectory Generation Method for Robot Control
Structured Prediction for CRISP Inverse Kinematics Learning With Misspecified Robot Models
Machine-learning-based Prediction of Gait Events from EMG in Cerebral Palsy Children
An overview of emerging trends in robotics and automation
Predicting physical activity levels from kinematic gait data using machine learning techniques
ReCoCo: Reinforcement learning-based Congestion control for Real-time applications
Estimating the mechanical competence parameter of the trabecular bone: A neural network approach
Traceable machine learning real-time quality control based on patient data
Motor synergies: Evidence for a novel motor signature in autism spectrum disorder
Motor synergies: Evidence for a novel motor signature in autism spectrum disorder
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
MoGlow: Probabilistic and controllable motion synthesis using normalising flows
Using machine learning for control systems in transforming environments
Skill-based human-robot cooperation in tele-operated path tracking
Exploring Physiological Signal Responses to Traffic-Related Stress in Simulated Driving †
Exploring Physiological Signal Responses to Traffic-Related Stress in Simulated Driving †