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3D SCENE RECONSTRUCTION SYSTEM BASED ON A MOBILE DEVICE
A Cloud robotics architecture to foster individual child partnership in medical facilities
A cognitive robotic ecology approach to self-configuring and evolving AAL systems
A comparison of machine learning classifiers for smartphone-based gait analysis
A cooperative machine learning approach for pedestrian navigation in indoor IoT
Activity Recognition with Wearable Sensors on Loose Clothing
Adapting reinforcement learning for multimedia transmission on SDN
Adaptive Deep Learning through Visual Domain Localization
Adaptive Steering Behaviour for Heavy Duty Vehicles
A decision making support tool: The resilience management fuzzy controller
A Deep Reinforcement Learning Approach for Efficient, Safe and Comfortable Driving
A Deep Reinforcement Learning Framework for Optimizing Fuel Economy of Vehicles
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots
Adult2child: Motion Style Transfer using CycleGANs
A Generalized Block-Matrix Circuit for Closed-Loop Analog In-Memory Computing
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
A hierarchical AI-based control plane solution for multi-technology deterministic networks
AI-based Energy Management Strategies for P2 Plug-in Hybrid Electric Vehicles
AI, Robotics and Automation meet Archaeology
A Machine Learning Approach for Tracking the Torque Losses in Internal Gear Pump - AC Motor Units
A machine learning approach to visual perception of forest trails for mobile robots
A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
A maturity model for the autonomy of manufacturing systems
A maturity model for the autonomy of manufacturing systems
A new deep reinforcement learning architecture for autonomous UAVs
An Exposed Closed-Loop Model forCustomer-Driven Service Assurance Automation
An ML-aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers
A Novel Trajectory Generation Method for Robot Control
An overview of emerging trends in robotics and automation
Anytime learning and adaptation of fuzzy logic behaviors
Application of machine learning to improve to performance of a pressure-controlled system
Applying categorization to improve learning in complex environments
Apply Reinforcement Learning in AWS DeepRacer