Mobility Management
Mobility management encompasses the optimization of movement and resource allocation across various systems, aiming to improve efficiency, safety, and user experience. Current research focuses on developing sophisticated models, including agent-based simulations, transformer networks, and physics-informed neural networks, to predict and manage mobility patterns in diverse contexts such as urban transportation, autonomous vehicles, and robotic locomotion. These advancements have significant implications for improving transportation systems, optimizing resource utilization in communication networks, and enhancing the design of assistive technologies and robotic systems.
Papers
Capacity and Delay of Unmanned Aerial Vehicle Networks with Mobility
Zhiqing Wei, Zhiyong Feng, Haibo Zhou, Li Wang, Huici Wu
How Strong a Kick Should be to Topple Northeastern's Tumbling Robot?
Adarsh Salagame, Neha Bhattachan, Andre Caetano, Ian McCarthy, Henry Noyes, Brandon Petersen, Alexander Qiu, Matthew Schroeter, Nolan Smithwick, Konrad Sroka, Jason Widjaja, Yash Bohra, Kaushik Venkatesh, Kruthika Gangaraju, Paul Ghanem, Ioannis Mandralis, Eric Sihite, Arash Kalantari, Alireza Ramezani