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learning
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deep learning
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keywords:( deep learning)
Conditional Neural Movement Primitives
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-Wideband
Robot-aided cloth classification using depth information and CNNs
Crash Rate Estimation by Aerial Image Analysis
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
A Deep Learning Approach for Object Recognition with NAO Soccer Robots
Benchmarking deep reinforcement learning for continous control
Attention-based experience replay in deep Q-learning
Speeding Up Optimization-based Motion Planning through Deep Learning
Deep Multiframe Enhancement for Motion Prediction in Video Compression
Using Predictive Uncertainty for Cleaning Noisy Annotations
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Position-agnostic autonomous navigation in vineyards with Deep Reinforcement Learning
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Autonomous Navigation in Vineyards with Deep Learning at the Edge
Traffic Speed Prediction for Urban Arterial Roads Using Deep Neural Networks
Refining action segmentation with hierarchical video representations
3D vehicle detection on an FPGA from LiDAR point clouds
Open Fusion Platform for Automated Driving Cars Based on Nvidia DPX2
An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise
Semi-autonomous grasping for assisted glovebox operations
Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation
Analysis of Big Data Obtained in Service Robots
Deep Explainable Relational Reinforcement Learning : A Neuro-Symbolic Approach
Collision Avoidance Approach Using Deep Reinforcement Learning
Explainable AI for precise fatigue crack detection
A vision-based teleoperation system for robotic systems
Robot Movement Using the Trust Region Policy Optimization
RL-DWA Omnidirectional Motion Planning for Person Following in Domestic Assistance and Monitoring
Deep Reinforcement Learning for Persistent Cruise Control in UAV-aided Data Collection
Kitting in the Wild through Online Domain Adaptation
Deep Learning with Semi-Synthetic Training Images for Detection of Non-Cooperative UAVs
Vision-based MAV Navigation in Underground Mine Using Convolutional Neural Network
An Adaptive Row Crops Path Generator with Deep Learning Synergy
A gesture-based robot program building software
Earth Science Deep Learning: Applications and Lessons Learned