Subject: Two Opportunities for Machine Vision (MV), 3D Modeling and Simulation, and Robotics Internships (RoboWeeds) in Agriculture at USDA Beltsvill Description: The Sustainable Agricultural Systems Lab (SASL) is investigating ways to develop an automated machine to kill weeds. The machine needs to be trained using real and synthetic weed images. After training, an efficient simulation system will be created to support the development of an automated system that precisely kills and/or removes weeds. We are looking for talented and motivated undergraduate students interested in honing their simulation and machine vision (MV) skills and applying them to real-world agricultural problems. Interns will 1) use synthetic images to develop MV models, 2) create a simulation system representing cover crop field-weeds interactions using software such as Gazebo/ROS/Unreal Engine/Blender, and 3) design and implement a robotics system that kills weeds using mechanical tools and/or microdose nozzles/jets. Benefits. Interns will gain valuable experience and develop skills much needed in modeling, simulation, and robotics positions. Location options. Work at Beltsville Agricultural Research Center (Beltsville, MD) or work remotely, as agreed upon. Description. Two Interns (one each in robotics and MV) will work with robotics, MV scientists, ag domain experts to improve an existing weed image dataset and develop automated weeding machines. Event Date: February 1, 2021 Event Location: USDA Beltsville Office Contact Person: Kadeghe Fue Contact Email: [log in to unmask] You received this email because you are subscribed to the Daily eNews for CMNS Students (CMNS-UNDERGRAD-NEWS) mailing list. If you would like to unsubscribe from this list, simply send an email to [log in to unmask] with the message signoff CMNS-UNDERGRAD-NEWS in the body.