Artificial intelligence and robotics
International Symposium on Artificial Intelligence and Robotics, Huimin Lu (Editor), Xing Xu (Editor)
This book highlights selected papers presented at the 2nd International Symposium on Artificial Intelligence and Robotics 2017 (ISAIR2017), held in Nakamura Centenary Memorial Hall, Kitakyushu, Japan on November 25-26, 2017. Today, the integration of artificial intelligence and robotic technologies has become a topic of growing interest for both researchers and developers from academic fields and industries worldwide, and artificial intelligence is poised to become the main approach pursued in next-generation robotics research. The rapidly growing number of artificial intelligence algorithms and big data solutions has significantly extended the number of potential applications for robotic technologies. However, it also poses new challenges for the artificial intelligence community. The aim of this symposium is to provide a platform for young researchers to share the latest scientific achievements in this field, which are discussed in these proceedings
Congress
1 online resource (XIV, 326 pages) : 154 illustrations
9783319698779, 331969877X
1021271482
Print version:
Identification of the Conjugate Pair to Estimating Object Distance: An Application of the Ant Colony Algorithm.-Design of Palm Acupuncture Points Indicator
Low-rank Representation and Locality-constrained Regression for Robust Low-Resolution Face Recognition
Face Recognition Benchmark with ID Photos
Scene Relighting using a Single Reference Image through Material Constrained Layer Decomposition
Applying Adaptive Actor-critic Learning to Human Upper Lime Lifting Motion
A Demand-based Allocation Mechanism for Virtual Machine
A Joint Hierarchy Model for Action Recognition Using Kinect
QoS-Based Medical Program Evolution
An Improved 3D Surface Reconstruction Method based on Three Wavelength Phase Shift Profilometry
The Research on the Lung Tumor Imaging based on the Electrical Impedance Tomography
Combining CNN and MRF for Road Detection
The Increasing of Discrimination Accuracy of Waxed Apples based on Hyperspectral Imaging Optimized by Spectral Correlation Analysis
A Diffeomorphic Demons Approach to Statistical Shape Modeling