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Lossless Reconstruction of Convolutional Neural Network for Channel-Based Network Pruning
Sensors, 2023 Network pruning reduces the number of parameters and computational costs of convolutional neural networks while maintaining high performance. Although existing pruning methods have achieved excellent results, they do not consider reconstruction after ...
Donghyeon Lee, Eunho Lee, Youngbae Hwang
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Handover Control for Human-Robot and Robot-Robot Collaboration [PDF]
Frontiers in Robotics and AI, 2021 Modern scenarios in robotics involve human-robot collaboration or robot-robot cooperation in unstructured environments. In human-robot collaboration, the objective is to relieve humans from repetitive and wearing tasks. This is the case of a retail store, where the robot could help a clerk to refill a shelf or an elderly customer to pick an item from ...
Costanzo M., De Maria G., Natale C.
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Integrated Image Processing Toolset for Tracking Direction of Metal Grain Deformation
Applied Sciences, 2022 Grain boundaries (GBs), which are among the mechanical properties of a material, are a microstructural aspect that contributes to the overall behavior of metal.
I Dewa Made Oka Dharmawan, Jinyi Lee
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Role of Deep Learning in Loop Closure Detection for Visual and Lidar SLAM: A Survey
Sensors, 2021 Loop closure detection is of vital importance in the process of simultaneous localization and mapping (SLAM), as it helps to reduce the cumulative error of the robot’s estimated pose and generate a consistent global map.
Saba Arshad, Gon-Woo Kim
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Micromachines, 2022 This paper continues the proposed idea of stability training for legged robots with any number of legs and any size on a motion platform and introduces the concept of a learning-based controller, the global self-stabilizer, to obtain a self-stabilization
Weiguo Wu, Liyang Gao, Xiao Zhang
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Clothoid: An Integrated Hierarchical Framework for Autonomous Driving in a Dynamic Urban Environment
Sensors, 2020 In recent years, research and development of autonomous driving technology have gained much interest. Many autonomous driving frameworks have been developed in the past.
Saba Arshad +4 more
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Applied Sciences, 2022 To implement a magneto-optic (MO) nondestructive inspection (MONDI) system for robot-based nondestructive inspections, quantitative evaluations of the presence, locations, shapes, and sizes of defects are required.
I Dewa Made Oka Dharmawan +2 more
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Cognitive Robotics and Control [PDF]
Electronics, 2020 Robotics and control are both research and application domains that have been frequently engineered with the use of interdisciplinary approaches like cybernetics [...]
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A Hierarchical Control System for Autonomous Driving towards Urban Challenges
Applied Sciences, 2020 In recent years, the self-driving car technologies have been developed with many successful stories in both academia and industry. The challenge for autonomous vehicles is the requirement of operating accurately and robustly in the urban environment ...
Nam Dinh Van +3 more
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Visual-LiDAR Based 3D Object Detection and Tracking for Embedded Systems
IEEE Access, 2020 In recent years, persistent news updates on autonomous vehicles and the claims of companies entering the space, brace the notion that vehicular autonomy of level 5 is just around the corner.
Muhammad Sualeh, Gon-Woo Kim
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