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Intelligent Autonomous Systems Laboratory Location: ETAS 523 Director: Dr. Cang Ye Phone: (501) 569-3093
The goal of the Intelligent Autonomous Systems Laboratory (IASL) is to create autonomous systems which are able to model their environments using onboard sensors and generate intelligent behaviors to complete their missions in unstructured environments. The systems are reconfigurable and evolutionary. They improve their performance while exploring the environments. The current research efforts of the IASL focus on: 1. Mobile robot simultaneously localization and mapping in unstructured environments (3-D space) 2. 3-D range data processing and understanding for autonomous navigation 3. Machine learning for autonomous navigation in unstructured environments We have open Ph.D. research positions in the above areas.
Lab Members
Faculty
Graduate Students
GuruPrasad Hegde, Ph.D. student with B.E. in Electrical Engineering from S V National Institute of Technology (Surat, India)
AmirHossein Tamjidi, Ph.D. Student with B.S. from Tabriz University and M.S. from K. N. Toosi University of Technology (Iran), in Electrical and Computer Engineering
Soonhac Hong, Ph.D. Student with B.S. and M.S. in Mechanical Engineering from Hanyang University (Korea) and M. S. in Computer Science from Columbia University
Xiangfei Qian, Ph.D. Student with B.S. in Computer Science from Nanjing University (China)
Equipment
1. Mobile robots: The Pioneer P3-DX robot and P3-AT all terrain robot 2. Vision sensors: Sick LMS 200 and Sick LMS 111 LADARs, SwissRangers SR3000 and SR4000, Bumblebee 2 Stereovision system, Flea2 cameras
3. Inertial sensors: 3-axis optic fiber gyroscope VG 941-3D, Memsense nIMU, O-Navi Falcon GX IMU, etc.
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