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Garrett Grindle

dblp:80/10004 · also Garrett G. Grindle · DBLP profile ↗
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4ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

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.

Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 77% Health and well-being technologies · 23%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
activities of daily living
0.012012
Personal Mobility and Manipulation Appliance - Design, Development, and Initial Testing · Proc. IEEE 2012
Robotics › Robot manipulation › service robot
assistive manipulation
0.012012
Personal Mobility and Manipulation Appliance - Design, Development, and Initial Testing · Proc. IEEE 2012

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

user-centered design · 0.3
YearPublicationVenuePosition
2022 Curb Negotiation With Dynamic Human-Robotic Wheelchair Collaboration
abstract
Wheelchair users often face architectural barriers such as curbs, limiting their accessibility, mobility, and participation in their communities. The mobility enhancement robotic (MEBot) wheelchair was developed to navigate over such architectural barriers. Its application allows wheelchair users to negotiate curbs automatically while the user remains in control. The application was optimized from a manual to a semiautomated process based on wheelchair users' feedback. The optimized application was evaluated by experienced wheelchair users who navigated over curbs of different heights. Participants evaluated MEBot in terms of effectiveness, workload demand, and usability. Ten participants successfully ascended and descended curbs of different heights at an average completion time of 55.7 ± 19.5 and 30.3 ± 9.1 s, respectively. MEBot maintained stability during the process, while participants reported low levels of effort, frustration, and overall cognitive demand to operate MEBot. Furthermore, participants were satisfied with the ease of learning and using the MEBot curb negotiation application to overcome the curbs but suggested less wheel adjustment for comfort and a faster pace to overcome curbs during real-world conditions.
Jorge L. Candiotti, Brandon J. Daveler, Sivashankar Sivakanthan, Garrett Grindle, Rosemarie Cooper, Rory A. Cooper
IEEE Trans. Hum. Mach. Syst.4
2014 Spectral Machine Learning for Predicting Power Wheelchair Exercise Compliance
Robert Fisher, Reid G. Simmons, Cheng-Shiu Chung, Rory A. Cooper, Garrett Grindle, Annmarie Kelleher, Hsin-yi Liu, Yu Kuang Wu
ISMIS5
2012 Personal Mobility and Manipulation Appliance - Design, Development, and Initial Testing
abstract
The ability to perform activities of daily living and mobility-related activities of daily living are substantial indicators of one's ability to live at home and to participate in one's community. Technologies to assist with mobility and manipulation are among the most important tools that clinicians can provide to people with disabilities to promote independence and community participation. For people with severe disabilities involving both the upper and lower extremities, there are few systems that provide practical and coordinated assistance with mobility and manipulation tasks. The personal mobility and manipulation appliance (PerMMA) was created in response to goals set forth by a team of clinicians and people with disabilities.
Rory A. Cooper, Garrett Grindle, Juan Jose Vazquez Lopez, Jijie Xu, Hongwu Wang, Jorge L. Candiotti, C. Chung, Ben Salatin, Elaine Houston, Annmarie Kelleher, Rosemarie Cooper, Emily Teodorski, S. Beach
Proc. IEEE2
2010 Enhanced bimanual manipulation assistance with the Personal Mobility and Manipulation Appliance (PerMMA)
abstract
In this paper, we investigate the enhanced ability of manipulation with the newly developed Personal Mobility and Manipulation Appliance (PerMMA). PerMMA is a new assistive device that integrates bimanual manipulation with smart mobility to assist people with severe physical disabilities and enhance their quality of lives. Different from the fixed mounting method used in most existing systems, a novel mounting system was designed on PerMMA to enhance its capability of manipulation assistance. With a workspace characterized by essential daily living tasks, we evaluated PerMMA's performance of manipulation using a comparative study between PerMMA and classic design, such as single arm and fixed mounting, used in most existing systems. Simulation results demonstrate significant improvements with PerMMA in both of its reachability and manipulability.
Jijie Xu, Garrett Grindle, Ben Salatin, Juan Jose Vazquez Lopez, Hongwu Wang, Rory A. Cooper
IROS2