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Jashkumar Diyora

dblp:330/2848 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

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
Human-robot interaction · 50% Wearable and physiological sensing · 50%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › teleoperation
assistive teleoperation
0.712023
HAT: Head-Worn Assistive Teleoperation of Mobile Manipulators · ICRA 2023
Wearable and physiological sensing
inertial sensing
0.712023
HAT: Head-Worn Assistive Teleoperation of Mobile Manipulators · ICRA 2023
Robotics › Robot manipulation
mobile manipulation
0.212023
HAT: Head-Worn Assistive Teleoperation of Mobile Manipulators · ICRA 2023

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

inertial measurement · 1.3
YearPublicationVenuePosition
2023 HAT: Head-Worn Assistive Teleoperation of Mobile Manipulators
abstract
Mobile manipulators in the home can provide increased autonomy to individuals with severe motor impairments, who often cannot complete activities of daily living (ADLs) without the help of a caregiver. Teleoperation of an assistive mobile manipulator could enable an individual with motor impairments to independently perform self-care and household tasks, yet limited motor function can impede one's ability to interface with a robot. In this work, we present a unique inertial-based wearable assistive interface, embedded in a familiar head-worn garment, for individuals with severe motor impairments to teleoperate and perform physical tasks with a mobile manipulator. We evaluate this wearable interface with both able-bodied ($\mathrm{N}=16$) and individuals with motor impairments ($\mathrm{N}=2$) for performing ADLs and everyday household tasks. Our results show that the wearable interface enabled participants to complete physical tasks with low error rates, high perceived ease of use, and low workload measures. Overall, this inertial-based wearable serves as a new assistive interface option for control of mobile manipulators in the home.
Akhil Padmanabha, Daphne Han, Jashkumar Diyora, Kriti Kacker, Hamza Khalid, Liang-Jung Chen, Carmel Majidi, Zackory Erickson
ICRA4