Path planning and formation control for multi-agent systems using ergodic exploration
Zhulei Chen received the B.S. degree in mechanical and electronic engineering from Huazhong Agricultural University, Wuhan, China, in 2018. She is currently working toward the M.S.degree in Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.Her main research direction is intelligent control and robotics.
An Energy-efficient Localization System for Imprecisely Positioned Sensor Nodes with Flying UAVs
Vlad Niculescu received the B.S. in Electrical Engineering from Polyethnic University of Bucharest (Romania) and the M.S. in Robotics, Systems and Control from ETH Zurich (Switzerland). He is currently pursuing the Ph.D. at the Department of Information Technology and Electrical Engineering, ETH Zürich, Switzerland. His current research interests include energy efficient algorithms for autonomous nano-UAVs, estimation, and localization algorithms. He competed in various student competitions, like SpaceX Hyperloop Pod Competition (Electrical Lead), where his team ranked second with the first linear induction motor based hyperloop pod
A new Orientation Method for Inclinometer based on MEMS Accelerometer used in Industry 4.0
Embedded System for Automation of Linear Welding Robot for Naval and Offshore Industry
Débora Debiaze de Paula is bachelor in Automation Engineering by Federal University of Rio Grande (FURG), Rio Grande do Sul (Brazil) and in 2013 she finished her technician in Industrial Automation by Federal Institute of Rio Grande do Sul (IFRS). Currently, she is a master’s degree student in Computer Engineering at Federal University of Rio Grande (FURG), where she researches about robotics and computer vision in underwater environments. Her main research interests are control systems, robotics, computer vision, image processing and machine learning.
ROS-Based Robot Simulation for Repetitive Labor-Intensive Construction Tasks
Ryan Lankin has been working as a professional software engineer for over 10 years, primarily in the network security space. He recently attained his M.S. in Computer Science from the University of Nebraska Omaha. During his graduate studies, he worked on a NASA-funded project to study and simulate the possibility of using a robot to influence the behavior of larger swarms of autonomous robotic agents. He worked with Dr. Pei-Chi Huang for his master’s project to begin the development of a small-scale robotics platform for use in the construction industry.
Zeitfenster der Veranstaltung (1)
02:45pm - 05:15pm