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Levi Lalla

dblp:38/2860 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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
Haptics and multimodal interaction · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction
tactile sensing
0.012004
A "Somatic Alphabet" Approach to "Sensitive Skin" · ICRA 2004
Robotics › Robot manipulation
robotic hand
0.012004
A "Somatic Alphabet" Approach to "Sensitive Skin" · ICRA 2004
Robotics › Robot manipulation › tactile sensing
tactile sensor
0.012004
A "Somatic Alphabet" Approach to "Sensitive Skin" · ICRA 2004

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

somatic sensor arrays · 0.1silicone skin fabrication · 0.1
YearPublicationVenuePosition
2006 The huggable: a therapeutic robotic companion for relational, affective touch
Walter Dan Stiehl, Jeff Lieberman, Cynthia Breazeal, Louis Basel, Roshni Cooper, Heather Knight, Levi Lalla, Allan Z. Maymin, Scott Purchase
CCNC7
2004 A "Somatic Alphabet" Approach to "Sensitive Skin"
abstract
The sense of touch is one of the most important sensory system in humans. This paper describes an initial step toward the realization of a fully "sensitive skin" for robots in which somatic sensors of varying modalities such as touch, temperature, pain, and proprioception combine, as if letters in an alphabet, to create a more vivid depiction of the world and foster richer human robot interactions. We have developed a new "sensitive" hand, covered in a lifelike silicone "skin" to explore the importance of touch and the formation of the somatic alphabet in the context of our humanoid robot, Leonardo. From initial tests the populations of these sensors show the potential for similar performance to both the mechanoreceptors in human skin and the cortical neurons in the somatosensory cortex.
Walter Dan Stiehl, Levi Lalla, Cynthia Breazeal
ICRA2