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Eric Wilkening

dblp:135/8396 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Legged, aerial and field robots · 69% Motion planning and robot control · 31%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
underwater robotics
0.322015
A multi-level motion controller for low-cost Underwater Gliders · ICRA 2015
Developing an underwater glider for educational purposes · ICRA 2013
Robotics › Motion planning and robot control › robot control
motion control
0.212015
A multi-level motion controller for low-cost Underwater Gliders · ICRA 2015
Robotics › Legged, aerial and field robots › underwater robotics
underwater glider
0.212015
A multi-level motion controller for low-cost Underwater Gliders · ICRA 2015
Computing education › educational technology
educational robotics
0.212013
Developing an underwater glider for educational purposes · ICRA 2013

Methods — techniques the papers use, named apart from their topics

mechatronics · 0.3buoyancy-driven glider design · 0.3modular design · 0.2autonomous control · 0.2
YearPublicationVenuePosition
2015 A multi-level motion controller for low-cost Underwater Gliders
abstract
An underwater glider named ROUGHIE (Research Oriented Underwater Glider for Hands-on Investigative Engineering) is designed and manufactured to provide a test platform and framework for experimental underwater automation. This paper presents an efficient multi-level motion controller that can be used to enhance underwater glider control systems or easily modified for additional sensing, computing, or other requirements for advanced automation design testing. The ultimate goal is to have a fleet of modular and inexpensive test platforms for addressing the issues that currently limit the use of autonomous underwater vehicles (AUVs). Producing a low-cost vehicle with maneuvering capabilities and a straightforward expansion path will permit easy experimentation and testing of different approaches to improve underwater automation.
Guilherme Aramizo Ribeiro, Anthony Pinar, Eric Wilkening, Saeedeh Ziaeefard, Nina Mahmoudian
ICRA3
2013 Developing an underwater glider for educational purposes
abstract
Buoyancy-driven underwater gliders (UGs) have proven to be quite effective for long-range, long-term oceanographic sampling. However, current off-the-shelf UGs are large, heavy, expensive, and difficult to modify, both in hardware and software, which prevents their frequent use for lake observations and limits researchers' ability to perform multi-vehicle coordination experiments. Our current research goal is to develop UGs that would share the buoyancy-driven concept with the first generation of gliders, but are smaller in size, lighter in weight, and lower in price. Our future research goal is to design and develop an underwater glider fleet that will result in novel and transformative research capabilities in coordinated control. Along with advancing research and broadening data collection ability, UGs provide a hands-on tool for engaging students in sophisticated STEM learning. This paper describes in detail the design, manufacturing, and modeling of our inexpensive Glider for Underwater Problem-solving and Presentation in Education (GUPPIE). GUPPIE was developed using practical components such as syringes for buoyancy control and a hull made of acrylic for easy analysis. The design is both affordable and easy-to-duplicate. GUPPIE's pedagogical platform provides hands-on learning applications that demonstrate glider mechanics, mechatronics, hydrodynamics, trimming, diving and surfacing performance, and mobility in water.
Byrel Mitchell, Eric Wilkening, Nina Mahmoudian
ICRA2