ICCR 2023 | November 23-25, 2023


     
 
Conference General Chair
Prof. Genci Capi, Hosei University, Japan
 
 
Keynote Speaker: Prof. Jaesung Hong
Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea
     
 
Keynote Speaker: Prof. Graziano Chesi (IEEE Fellow)
The University of Hong Kong
 
 
Keynote Speaker: Prof. Brad Nelson (IEEE Fellow, ASME Fellow)
Institute of Robotics and Intelligent Systems, ETH Zurich, Switzerland
     
 
Onsite Group Photo
   
Onsite Sessions
     
  Online Sessions      

ICCR 2023 Conference Proceedings

 

2023 5th International Conference on Control and Robot (ICCR 2023)

ICCR 2023 conference proceedings has been archived inot IEEE Xplore already. Read More

 

Excellent Oral Presentation Winners

Onsite Session 1-CA060-A
Real-time Plant Disease Segmentation and Identification using Deep Learning
Presenter: Mejdl Safran, King Saud University, Riyadh, Saudi Arabia


Onsite Session 2-CA028-A
3D-Printed Robotic Arm for Teaching Robotics Engineering and Multi-Arm Motion Planning
Presenter: Pavel Surynek, Czech Technical University in Prague, Czechia

 

Onsite Session 3- CA513 & CA048
Transflection Near-Infrared Spectroscopy Combined with Machine Learning for Mechanical Stability Time Evaluation in Concentrated Rubber Latex
Presenter: Pisit Suttho, King Mongkut’s Institute of Technology Ladkrabang, Thailand

&
Simulation Analysis of K-modification Adaptive Control for Remotely Operated Underwater Vehicles
Presenter: Praveen Amodya Ekanayake, Nagaoka University of Technology, Japan

 

Onsite Session 4-CA510
Predictive Data Analytics for Energy Incident Management (EIM) in Smart Buildings: A Data Science Approach
Presenter: Mohamed Riduan Abid, Columbus State University, USA

 

Online Session 1-CA023
The Development of Mobile-Based Symptom Analysis for Early Detection of Diseases Using Hyper-Tuned C-Support Vector Classification Algorithm
Presenter: Jefferson Costales, Eulogio "Amang" Rodriguez Institute of Science and Technology, Philippines

 

Online Session 2-CA006-A
Self-Learning Optimal Sensor Selection for Linear Control with Unknown Sensor Noise Covariance
Presenter: Xinru Wang & Jinna Li & Weiwei Yin, Liaoning Petrochemical University, China

 

Online Session 3-CA042
Yaw Motion Control System for Novel Unmanned Water-powered Aerial Vehicle: Design and Experiments
Presenter: Cao-Tri Dinh, Pukyong National University, South Korea

 


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