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Robotics

TC AgRA – Webinar 39 – Improving Autonomous Orchard Vehicles Trajectory Tracking

Dr. Gokhan Bayar is a professor of Mechanical Engineering Department at the Bulent Ecevit University in Zonguldak, Turkey, where he leads projects and teaches courses in robotics, mechatronics, and control systems. His main interests are the design, development, modeling, and control of mobile robots and autonomous ground vehicles; and low-cost and high-resolution lidar systems for autonomous vehicle applications—especially as applied to problems in agriculture. Dr. Bayar earned M.Sc., and Ph.D. degrees in Mechanical Engineering Department from the Middle East Technical University, Ankara, Turkey. During his Ph.D. studies, he spent a year in the Field Robotics Center, Robotics Institute, Carnegie Mellon…

TC AgRA – Webinar 42 – Practical and Precise Perception for Vineyards

Dr. Mark Whitty is a Lecturer in the School of Mechanical and Manufacturing Engineering at UNSW Australia and the leader of the Smart Robotic Viticulture (SRV) group. His research interests include precision agriculture, mobile robots, 3D mapping, indoor localisation and image processing. These have been applied in field robotics including current work on yield estimation in viticulture. He is the Chief Investigator for a Wine Australia project titled “Improved Yield Estimation for the Australian Wine Industry” and is engaged in projects for water stress detection and maturity estimation using mobile and lightweight sensors.   Abstract: Accurate yield estimation is a…

TC AgRA – Webinar 43 – Automated Weed Detection in Crops Using Flying Robots

Dr. Yasir Niaz Khan obtained his Ph.D. at the University of Tubingen in 2013. During his Ph.D. he conducted research on detection of terrain (ground surfaces) using a camera mounted on a flying and a ground robot. Upon completing his graduate studies, Dr. Khan started teaching robotics at FAST-NU, Lahore, Pakistan. He started a new robotics Lab at FAST-NU for robotics students to promote robotics in Pakistan. Dr. Khan supervised many national and international level robotic events held at FAST-NU where professors and students from different universities presented their works in robotics field. Dr. Khan joined the University of Central…

Allison Okamura Haptics Engineering Touch

The 2015 Texas A&M Robotics Symposium hosted talks from world recognized researchers whose expertise covers the spectrum of robotics and automation. These researchers comprise the 2015 IEEE International Conference on Robotics and Automation (ICRA) Senior Program Committee (SPC).  

Jana Koseka Semantic Parsing for Robot Perception

The 2015 Texas A&M Robotics Symposium hosted talks from world recognized researchers whose expertise covers the spectrum of robotics and automation. These researchers comprise the 2015 IEEE International Conference on Robotics and Automation (ICRA) Senior Program Committee (SPC).  

Jing Xiao Autonomous Robotic Manipulation

The 2015 Texas A&M Robotics Symposium hosted talks from world recognized researchers whose expertise covers the spectrum of robotics and automation. These researchers comprise the 2015 IEEE International Conference on Robotics and Automation (ICRA) Senior Program Committee (SPC).  

Radhika Nagpal Taming the swarm

The 2015 Texas A&M Robotics Symposium hosted talks from world recognized researchers whose expertise covers the spectrum of robotics and automation. These researchers comprise the 2015 IEEE International Conference on Robotics and Automation (ICRA) Senior Program Committee (SPC).  

Lynne Parker Towards Peer to Peer Human Robot Teaming

The 2015 Texas A&M Robotics Symposium hosted talks from world recognized researchers whose expertise covers the spectrum of robotics and automation. These researchers comprise the 2015 IEEE International Conference on Robotics and Automation (ICRA) Senior Program Committee (SPC).  

NASA’s BEST — Improve

The final phase of the engineering design process is to improve. This is the step where changes are made to the original model to come up with the best solution. Don Higdon says the most important idea for students to take away is that this is a process that can be applied to any problem.  

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