Matthew Bryant

According to our database, Matthew Bryant authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Experimental Validation of an Iterative Learning-Based Flight Trajectory Optimizer for an Underwater Kite.

James Reed, Kartik Naik, Andrew Abney, Dillon Herbert, Jacob B. Fine, Ashwin Vadlamannati, James Morris, Trip Taylor, Michael Muglia, Kenneth Granlund, Matthew Bryant, Chris Vermillion

IEEE Trans. Control. Syst. Technol., July, 2024

Algorithm for Locomotion Mode Selection, Energy Estimation and Path Planning for a Multi-terrain Screw-Propelled Vehicle for Arctic Exploration.

Sumedh Beknalkar, Matthew Bryant, Andre Mazzoleni

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

Underwater Dynamics, Controls and Trajectory Tracking of an Amphibious Screw-propelled Vehicle for Arctic Exploration.

Sumedh Beknalkar, Matthew Bryant, Swaroop Darbha, Andre Mazzoleni

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023

Effects of Neural Network Architecture on Topography Estimation From Satellite Imagery for Multi-Terrain Autonomous Vehicle Path Planning and Control.

Ryan Lynch, Sumedh Beknalkar, Jack Lynch, Andre Mazzoleni, Matthew Bryant

Proceedings of the IEEE International Conference on Mobility, 2023

Optimal Cyclic Control of a Structurally Constrained Span-Morphing Underwater Kite in a Spatiotemporally Varying Flow.

Jacob B. Fine, Carson M. McGuire, James Reed, Matthew Bryant, Chris Vermillion

Proceedings of the American Control Conference, 2023

2022

The Application of PVDF-Based Piezoelectric Patches in Energy Harvesting from Tire Deformation.

Kevin Nguyen, Matthew Bryant, In-Hyouk Song, Byoung-Hee You, Seyedmeysam Khaleghian

Sensors, 2022

Sensor Fusion Observer Design and Experimental Validation for an Underwater Kite.

Zak Leonard, Samuel Bryant, Kartik Naik, Andrew Abney, Dillon Herbert, Hosam K. Fathy, Kenneth Granlund, Andre Mazzoleni, Matthew Bryant, Chris Vermillion

Proceedings of the American Control Conference, 2022

2020

Energetic analysis and optimization of a bi-modal rolling-flying vehicle.

Stefan Atay, Tyler Jenkins, Gregory D. Buckner, Matthew Bryant

Int. J. Intell. Robotics Appl., 2020

Real-Time Power Optimization of a Bi-Modal Rolling-Flying Vehicle via Extremum Seeking Control.

Stefan Atay, Matthew Bryant, Gregory D. Buckner

Proceedings of the 2020 American Control Conference, 2020