Open Science Research Excellence

ICARES 2020 : International Conference on Aerospace Robotics and Embedded Systems

Rome, Italy
March 5 - 6, 2020

Conference Code: 20IT03ICARES

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICARES 2020 has teamed up with the Special Journal Issue on Aerospace Robotics and Embedded Systems. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   December 12, 2019
Notification of Acceptance/Rejection   December 31, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   February 5, 2020
Conference Dates   March 5 - 6, 2020

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) An Improved Dynamic Window Approach with Environment Awareness for Local Obstacle Avoidance of Mobile Robots
Baoshan Wei, Shuai Han, Xing Zhang
2) Vision-Based Collision Avoidance for Unmanned Aerial Vehicles by Recurrent Neural Networks
Yao-Hong Tsai
3) Comparison of Data Reduction Algorithms for Image-Based Point Cloud Derived Digital Terrain Models
M. Uysal, M. Yilmaz, I. Tiryakioğlu
4) Construction of Large Scale UAVs Using Homebuilt Composite Techniques
Brian J. Kozak, Joshua D. Shipman, Peng Hao Wang, Blake Shipp
5) A Review on Comparative Analysis of Path Planning and Collision Avoidance Algorithms
Divya Agarwal, Pushpendra S. Bharti
6) Feasibility Study of the Quadcopter Propeller Vibrations for the Energy Production
Nneka Osuchukwu, Leonid Shpanin
7) A Mini Radar System for Low Altitude Targets Detection
Kangkang Wu, Kaizhi Wang, Zhijun Yuan
8) Topographic Mapping of Farmland by Integration of Multiple Sensors on Board Low-Altitude Unmanned Aerial System
Mengmeng Du, Noboru Noguchi, Hiroshi Okamoto, Noriko Kobayashi
9) Advantages of Neural Network Based Air Data Estimation for Unmanned Aerial Vehicles
Angelo Lerro, Manuela Battipede, Piero Gili, Alberto Brandl
10) Implementing Delivery Drones in Logistics Business Process: Case of Pharmaceutical Industry
Nikola Vlahovic, Blazenka Knezevic, Petra Batalic
11) Autonomous Flight Performance Improvement of Load-Carrying Unmanned Aerial Vehicles by Active Morphing
Tugrul Oktay, Mehmet Konar, Mohamed Abdallah Mohamed, Murat Aydin, Firat Sal, Murat Onay, Mustafa Soylak
12) Development of a Wall Climbing Robotic Ground Penetrating Radar System for Inspection of Vertical Concrete Structures
Md Omar Faruq Howlader, Tariq Pervez Sattar, Sandra Dudley
13) Steering Velocity Bounded Mobile Robots in Environments with Partially Known Obstacles
Reza Hossseynie, Amir Jafari
14) Underneath Vehicle Inspection Using Fuzzy Logic, Subsumption and OpenCV Library
Hazim Abdulsada
15) Three-Dimensional Off-Line Path Planning for Unmanned Aerial Vehicle Using Modified Particle Swarm Optimization
Lana Dalawr Jalal

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