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Kelly R. Cannon

dblp:66/4649 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2007
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 3 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

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
1 paper
Legged, aerial and field robots · 100%
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
Computing education
robotics education
0.112006
No Fear: University of Minnesota Robotics Day Camp Introduces Local Youth to Hands-on Technologies · ICRA 2006
Robotics › Legged, aerial and field robots
field robotics
0.012004
Increasing the Scout's Effectiveness through Local Sensing and Ruggedization · ICRA 2004
Robotics › Legged, aerial and field robots
miniature robot
0.012004
Increasing the Scout's Effectiveness through Local Sensing and Ruggedization · ICRA 2004
Computing education › k-12 education
k-12 computing education
0.012006
No Fear: University of Minnesota Robotics Day Camp Introduces Local Youth to Hands-on Technologies · ICRA 2006

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

survey · 0.1ruggedization · 0.0local sensing · 0.0
YearPublicationVenuePosition
2007 Second annual robotics summer camp for underrepresented students
abstract
The University of Minnesota Center for Distributed Robotics and the Digital Technology Center hosted the second annual Technology Day Camp, a week long camp targeting underrepresented students such as girls, African Americans, and Hispanics from the Twin Cities metro area. Students were surveyed prior to the camp revealing a strong proclivity towards math and science, but a resistance to the perceived lifestyle of computer scientists. With an emphasis on the college experience, building hardware, creating software, and interacting with robots, the camp implemented proposed changes from the previous year as well as new activities with a special emphasis on robotics. The successes and failures are discussed in an effort to provide insight for organizations hosting similar programs, new research questions are presented, and a materials list is provided.
Kelly R. Cannon, Katherine A. Panciera, Nikolaos Papanikolopoulos
ITiCSE1
2006 No Fear: University of Minnesota Robotics Day Camp Introduces Local Youth to Hands-on Technologies
abstract
Women and minorities are underrepresented in the IT field at the high school, university, and industry levels. Efforts to address this imbalance are often too late to solve underlying problems such as perceived ineptitude and actual inexperience. By designing and hosting a program for these underrepresented students in the middle grades, the Center for Distributed Robotics at the University of Minnesota hopes to establish a successful annual robotics day camp which would inspire both women and minorities to pursue careers in technology. Detailed accounts of the goals and methodology are provided. Initial survey results reveal a very positive response from the campers as well as strengths and weaknesses which would be useful in designing or refining similar camps
Kelly R. Cannon, Monica Anderson 0001, Nate Bird, Katherine A. Panciera, Harini Veeraraghavan, Nikolaos Papanikolopoulos, Maria L. Gini
ICRA1
2005 Relative collaborative localization using pyroelectric sensors
abstract
The Research Oriented Sensing Inexpensive (ROSI) robot is a new, highly capable mobile sensor node designed to enable collaborative applications. Not only capable of two-way communication, ROSI robots also possess a full suite of traditional small scale sensors which can be augmented with visual information from a digital camera via a semi-dedicated onboard processor. This is accomplished in the same form factor of the original Scouts using commodity components for a low cost. This work details an approach to localizing robots with respect to each other using a collaborative sensing mechanism. Determination of relative angles, overlapping field of view and direction are explored.
Monica A. LaPoint, Ian T. Burt, Kelly R. Cannon, Chuck Hays, Ben Miller, Nikolaos Papanikolopoulos
IROS3
2004 Increasing the Scout's Effectiveness through Local Sensing and Ruggedization
abstract
The Scout is a miniature robot capable of performing surveillance and reconnaissance applications. However, the small size of the Scout limits the on-board processing capability and thus requires that the primary sensing modality (vision) be processed remotely. This creates a dependence upon a video channel which can become a severe bottleneck when attempting to use large numbers of robots. This paper discusses the newest generation of the Scout, the COTS 3.0, which attempts to reduce the effect of the communication bottleneck by using more local sensing capabilities to achieve a degree of autonomous functionality. Several experiments showing the durability of the new COTS Scout and the autonomous capability are presented.
Andrew Drenner, Monica Anderson 0001, Ian T. Burt, Kelly R. Cannon, Chuk Hays, Apostolos D. Kottas, Nikolaos Papanikolopoulos
ICRA4