Zobrazeno 1 - 10
of 255
pro vyhledávání: '"Dudek, Gregory"'
Transit agencies world-wide face tightening budgets. To maintain quality of service while cutting costs, efficient transit network design is essential. But planning a network of public transit routes is a challenging optimization problem. The most su
Externí odkaz:
http://arxiv.org/abs/2404.05894
Autor:
Lotfi, Faraz, Faraji, Farnoosh, Kakodkar, Nikhil, Manderson, Travis, Meger, David, Dudek, Gregory
This paper explores leveraging large language models for map-free off-road navigation using generative AI, reducing the need for traditional data collection and annotation. We propose a method where a robot receives verbal instructions, converted to
Externí odkaz:
http://arxiv.org/abs/2404.02294
Autor:
Holliday, Andrew, Dudek, Gregory
Planning a public transit network is a challenging optimization problem, but essential in order to realize the benefits of autonomous buses. We propose a novel algorithm for planning networks of routes for autonomous buses. We first train a graph neu
Externí odkaz:
http://arxiv.org/abs/2403.07917
In this paper, we present an exploration and assessment of employing a centralized deep Q-network (DQN) controller as a substitute for the prevalent use of PID controllers in the context of 6DOF swimming robots. Our primary focus centers on illustrat
Externí odkaz:
http://arxiv.org/abs/2401.16618
The ever-increasing demand for data services and the proliferation of user equipment (UE) have resulted in a significant rise in the volume of mobile traffic. Moreover, in multi-band networks, non-uniform traffic distribution among different operatio
Externí odkaz:
http://arxiv.org/abs/2401.13792
We introduce PhotoBot, a framework for fully automated photo acquisition based on an interplay between high-level human language guidance and a robot photographer. We propose to communicate photography suggestions to the user via reference images tha
Externí odkaz:
http://arxiv.org/abs/2401.11061
Autor:
Laham, Saria Al, Baghi, Bobak H., Lajoie, Pierre-Yves, Feriani, Amal, Herath, Sachini, Liu, Steve, Dudek, Gregory
We present a human state estimation framework that allows us to estimate the location, and even the activities, of people in an indoor environment without the requirement that they carry a specific devices with them. To achieve this "device free" loc
Externí odkaz:
http://arxiv.org/abs/2401.05410
The use of learning-based methods for optimizing cellular radio access networks (RAN) has received increasing attention in recent years. This coincides with a rapid increase in the number of cell sites worldwide, driven largely by dramatic growth in
Externí odkaz:
http://arxiv.org/abs/2312.03277
Autor:
Limoyo, Oliver, Konar, Abhisek, Ablett, Trevor, Kelly, Jonathan, Hogan, Francois R., Dudek, Gregory
We present placing via picking (PvP), a method to autonomously collect real-world demonstrations for a family of placing tasks in which objects must be manipulated to specific, contact-constrained locations. With PvP, we approach the collection of ro
Externí odkaz:
http://arxiv.org/abs/2312.02352
Robots operating in an open world will encounter novel objects with unknown physical properties, such as mass, friction, or size. These robots will need to sense these properties through interaction prior to performing downstream tasks with the objec
Externí odkaz:
http://arxiv.org/abs/2312.00215