Beyond those technologies and behaviors that
have been demonstrated during past missions , the following are emphasized:
1. Man-machine interaction (non-electronic
command and control)
2. Fused sensory enhancement of a human
operator by a fleet of aerial robots
3. Swarm interaction
4. Aerial target designation
5. Head-to-head interaction with opposing
aerial robots
International Air Robot Competition was founded in 1991, promoted by professor Robert from Georgia Institute of Technology, funded by the Association for Unmanned Vehicle Systems International (AUVSI), and held once a year. The tournament so far has been through 27 years, with six generation of tasks completed, which are all high intelligent technology competition tasks from automatic to autonomous control.
By the year of 2012, the Asia-Pacific division of International Air Robot Contest was set up by the Professor of BUAA, director of the Aviation Institute GNC Branch Wang Yingxun and Professor Robert C. Michelson jointly, the breakthrough of Mission 6 in Asia-Pacific division was made by Tsinghua university in 2013, gaining total $40000 accumulated over the past 4 years. After the breakthrough of Mission 6, Professor Wang Yingxun together with Professor Robert design the Mission 7, "Air Shepherd Dog Action" (Air robots rely entirely on their own indoor navigation and control technology to block and control 10 ground moving objects to designated areas of the competition venue, and to avoid collisions of four moving obstacles of different heights.), The 2018 competition is the fifth competition of Mission 7.
The 2018 competition will end the competition of Mission 7 and open the competition of Mission 8. In Mission, the first non-electronic human-machine interaction will be conducted, with four aerial robots assisting humans to complete tasks that one person cannot independently accomplish.
The International Air Robot Competition (IARC) aims to advance UAV technology by setting challenging, practical and meaningful competition tasks. These tasks are almost impossible to accomplish when they are presented, yet the world will benefit when they are ultimately accomplished by aerial robots.
Beijing Drone Your Dream Technology Co.,Ltd.
Association for Unmanned Vehicle Systems International Foundation/RoboNation
Chinese Society of Aeronautics & Astronautics (CSAA)
Chinese Association for Artificial Intelligence
Chinese Association of Automation
Beihang University
Chinese Society of Aeronautics Education
Unmanned Aircraft Systems Committee of Chinese Society of Aeronautics and Astronautics
Technical Committee on Guidance,Navigation and Control(TCGNC),CSAA
Science and Technology on Aircraft Control Laboratory
Technical Committee on Unmanned Aerial Systems Autonomous Control, CAA
Science and TechnologyWorking Committee of Chinese Association for Artificial Intelligence
Beijing Society Of Aeronautics And Astronautics
Beijing Young Flyer Education Technology Co., Ltd.
顾Director: Lin Zuoming Liu Gaozhuo Robert C.Michelson
Executive Director:Yao Junchen
Vice director: Wang Yingxun, Zhao Shuanghong, Duan Haibin, Qiao Junfei, Xiao Hong, HU Qiang.
Committee member: Cai Zhendong , Cai Zhihao , Dai Qiyong, Fu Heng, Jia Tao, Li Zhiwei, Nie Rong, Peng Tao, Tang Renlin, Wei Chen, Wang Shaoping, Xu Hongbo, Ye Nan, Yu Naigong, Yu Youcheng,Zhang Nan, Zhou Meiting, Zhu Ni, Zhao Xiaolan.
Cao Yunfeng
Che Jun
Gao Qingji
Tang Daquan
Cai Zhihao
Wu Lirong
Zhang Ju’en
Robert C. Michelson
Wang Yingxun
Duan Haibin
The ability to fully autonomously fly and navigate without inertial systems was demonstrated using a triad of carrier wave GPS antennas/receivers, as was the ability to pick up objects in one location and deposit them in another.
Autonomous aerial mapping, millimeter target identification, and object retrieval was demonstrated using differential GPS technology for navigation.
The ability to perform an autonomous search and rescue mission was demonstrated, incorporating location and discrimination between injured survivors and the dead, avoidance of real threats to the aerial robot (15 meter flames, water geysers) in a cluttered, smoke obscured environment, and mapping of a disaster scene.
Autonomous aerial robots demonstrated the ability to fly long distances (3km), find a village, find a specific building in that village, identify all of the valid openings(open windows/doors) in that building, and insert an autonomous sub-robot into that opening.
The Mission 4 goals were extended to assume that the autonomous sub-robot was able to fly, and that it needed to map the interior of the building and locate an object. SLAM (simultaneous localization and mapping) techniques were used to achieve this mission.
The autonomous indoor flight scenario was further refined and completed by requiring a fully autonomous aerial robot to map the unknown interior of a building, avoid or defeat security measures, read and interpret printed directions on the walls (written in Arabic) to locate a specific room and remove a small object while replacing it with another like object before rapidly exiting the building as part of a simulated espionage mission. These mission goals were demonstrated during August of 2013 through the use of SLAM techniques and object recognition.
Mission 7 will challenge teams to demonstrate three new behaviors that have never been at tempted in any of the past six IARC missions. First, “interaction between aerial robots and moving objects (specifically, autonomous ground robots). Second, navigation in a sterile environment with no external navigation aids such as GPS or large stationary points of reference such as walls. Third, interaction between competing autonomous air vehicles.
Beyond those technologies and behaviors that
have been demonstrated during past missions , the following are emphasized:
1. Man-machine interaction (non-electronic
command and control)
2. Fused sensory enhancement of a human
operator by a fleet of aerial robots
3. Swarm interaction
4. Aerial target designation
5. Head-to-head interaction with opposing
aerial robots