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Full-Text Articles in Engineering
Event And Time-Triggered Control Module Layers For Individual Robot Control Architectures Of Unmanned Agricultural Ground Vehicles, Tyler Troyer
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
Automation in the agriculture sector has increased to an extent where the accompanying methods for unmanned field management are becoming more economically viable. This manifests in the industry’s recent presentation of conceptual cab-less machines that perform all field operations under the high-level task control of a single remote operator. A dramatic change in the overall workflow for field tasks that historically assumed the presence of a human in the immediate vicinity of the work is predicted. This shift in the entire approach to farm machinery work provides producers increased control and productivity over high-level tasks and less distraction from operating …
Modeling Autonomous Vehicles Through Radio Controlled Cars, Eva S. Chen
Modeling Autonomous Vehicles Through Radio Controlled Cars, Eva S. Chen
Computer Engineering
Autonomous vehicles have a lot of potential in improving people’s everyday lives. They could reduce congestion, reduce collisions, enhance mobility, and more. But with these benefits come security and privacy risks. In order to research and test some of these risks, we are building a set of scale autonomous cars that can model autonomous and collaborative behaviors. One such behaviour would be platooning, where a group of vehicles can travel closely together at high speeds by following a lead car. We are doing this with various sensors and control algorithms to allow for future modularity.
Models For Pedestrian Trajectory Prediction And Navigation In Dynamic Environments, Jeremy N. Kerfs
Models For Pedestrian Trajectory Prediction And Navigation In Dynamic Environments, Jeremy N. Kerfs
Master's Theses
Robots are no longer constrained to cages in factories and are increasingly taking on roles alongside humans. Before robots can accomplish their tasks in these dynamic environments, they must be able to navigate while avoiding collisions with pedestrians or other robots. Humans are able to move through crowds by anticipating the movements of other pedestrians and how their actions will influence others; developing a method for predicting pedestrian trajectories is a critical component of a robust robot navigation system. A current state-of-the-art approach for predicting pedestrian trajectories is Social-LSTM, which is a recurrent neural network that incorporates information about neighboring …
Autonomous Quadrotor Collision Avoidance And Destination Seeking In A Gps-Denied Environment, Thomas C. Kirven
Autonomous Quadrotor Collision Avoidance And Destination Seeking In A Gps-Denied Environment, Thomas C. Kirven
Theses and Dissertations--Mechanical Engineering
This thesis presents a real-time autonomous guidance and control method for a quadrotor in a GPS-denied environment. The quadrotor autonomously seeks a destination while it avoids obstacles whose shape and position are initially unknown. We implement the obstacle avoidance and destination seeking methods using off-the-shelf sensors, including a vision-sensing camera. The vision-sensing camera detects the positions of points on the surface of obstacles. We use this obstacle position data and a potential-field method to generate velocity commands. We present a backstepping controller that uses the velocity commands to generate the quadrotor's control inputs. In indoor experiments, we demonstrate that the …
Packmule, Jared M. Alexander, Jared J. Ford, Timothy J. Griffiths, Andray Pennington
Packmule, Jared M. Alexander, Jared J. Ford, Timothy J. Griffiths, Andray Pennington
Williams Honors College, Honors Research Projects
People face demands of hauling equipment and belongings with them every day, whether it be for work or leisure. This design report discusses and details a product that would allow people to overcome the struggles of this. The Packmule is an autonomous following robot that has the capability of carrying a load up to 30 pounds. The design involves two independently controlled motors operating two drive wheels so that the Packmule will be flexible in the directions it can move. There are also two more steering wheels for support of the base and the load inside. The way in which …