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A review of computer vision for semi-autonomous control of assistive robotic manipulators (ARMs)
Deep lidar CNN to understand the dynamics of moving vehicles
New reinforcement learning algorithm for robot soccer
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
Robot-human-learning for robotic picking processes
Robot-human-learning for robotic picking processes
Learning to Assess Grasp Stability from Vision, Touch and Proprioception
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks
Vehicle Distance Detection Using Monocular Vision and Machine Learning
Neural Network Driven Automated Guided Vehicle Platform Development for Industry 4.0 Environment
With Clear Intention - An Ethical Responsibility Model for Robot Governance
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Teaching mobile robots to use spatial words
Predictive control for multi-market trade of aggregated demand response using a black box approach
Indoor Mapping with Machine Learning Algorithm using Khepera III Mobile Robot
Automatic vehicle license plate number detection using machine learning
Variable Impedance Skill Learning for Contact-Rich Manipulation
Cloud interconnected affect reward based automation ambient comfort controller
Cloud interconnected affect reward based automation ambient comfort controller
Cloud interconnected affect reward based automation ambient comfort controller
Cloud interconnected affect reward based automation ambient comfort controller
Cloud interconnected affect reward based automation ambient comfort controller
Optimal intelligent control for doubly fed induction generators
Depression Prevalence in Postgraduate Students and Its Association With Gait Abnormality
Deep Reinforcement Learning: A Brief Survey
Collaborative Sensing with Interactive Learning using Dynamic Intelligent Virtual Sensors
Gait Trajectory and Gait Phase Prediction Based on an LSTM Network
A Generalized Block-Matrix Circuit for Closed-Loop Analog In-Memory Computing
Learning algorithms for robotics systems
A Deep Reinforcement Learning Approach for Efficient, Safe and Comfortable Driving
Data-Driven Model for Real-Time Estimation of NOx in a Heavy-Duty Diesel Engine
Feature Based Learning for Point Cloud Labeling and Grasp Point Detection
ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots
Laser powder bed additive manufacturing: A review on the four drivers for an online control
End-to-End Road Lane Detection and Estimation using Deep Learning
Towards Interpretable Automated Machine Learning for STEM Career Prediction
Efficiency of deep neural networks for joint angle modeling in digital gait assessment
Predictive monitoring of critical cardiorespiratory alarms in neonates under intensive care