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Active Object Tracking using Context Estimation: Handling Occlusions and Detecting Missing Targets
When performing visual servoing or object tracking tasks, active sensor ...
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Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
Graph Neural Networks (GNNs) have been emerging as a promising method fo...
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Toward Achieving Formal Guarantees for Human-Aware Controllers in Human-Robot Interactions
With the primary objective of human-robot interaction being to support h...
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LAAIR: A Layered Architecture for Autonomous Interactive Robots
When developing general purpose robots, the overarching software archite...
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CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
Many hyperparameter optimization (HyperOpt) methods assume restricted co...
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NSML: Meet the MLaaS platform with a real-world case study
The boom of deep learning induced many industries and academies to intro...
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An Architecture for Person-Following using Active Target Search
This paper addresses a novel architecture for person-following robots us...
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Social Navigation Planning Based on People's Awareness of Robots
When mobile robots maneuver near people, they run the risk of rudely blo...
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NSML: A Machine Learning Platform That Enables You to Focus on Your Models
Machine learning libraries such as TensorFlow and PyTorch simplify model...
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Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
Deep learning has significantly advanced the state of the art in artific...
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Genetic Representations for Evolutionary Minimization of Network Coding Resources
We demonstrate how a genetic algorithm solves the problem of minimizing ...
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