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Roberto Aimi

dblp:35/3529 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Human-computer interaction and ubiquitous 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.

Artificial intelligence
1 paper
Robot manipulation · 77% Image recognition and object detection · 23%
Human-computer interaction and pervasive computing
1 paper
Personal fabrication and tangible interfaces · 77% Haptics and multimodal interaction · 23%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › object manipulation
tabletop manipulation
0.112011
Gambit: An autonomous chess-playing robotic system · ICRA 2011
Personal fabrication and tangible interfaces
tangible interaction
0.112008
The sound of touch: physical manipulation of digital sound · CHI 2008
Computer vision › Image recognition and object detection
object detection and recognition
0.012011
Gambit: An autonomous chess-playing robotic system · ICRA 2011
Haptics and multimodal interaction › multisensory interaction
audio-tactile interaction
0.012008
The sound of touch: physical manipulation of digital sound · CHI 2008

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

learning algorithm · 0.1system design · 0.1exhibition deployment · 0.1
YearPublicationVenuePosition
2011 Gambit: An autonomous chess-playing robotic system
abstract
This paper presents Gambit, a custom, mid-cost 6-DoF robot manipulator system that can play physical board games against human opponents in non-idealized environments. Historically, unconstrained robotic manipulation in board games has often proven to be more challenging than the underlying game reasoning, making it an ideal testbed for small-scale manipulation. The Gambit system includes a low-cost Kinect-style visual sensor, a custom manipulator, and state-of-the-art learning algorithms for automatic detection and recognition of the board and objects on it. As a use-case, we describe playing chess quickly and accurately with arbitrary, uninstrumented boards and pieces, demonstrating that Gambit's engineering and design represent a new state-of-the-art in fast, robust tabletop manipulation.
Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Peter Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis LeGrand, Joshua R. Smith 0001, Dieter Fox
ICRA3
2008 The sound of touch: physical manipulation of digital sound
abstract
The Sound of Touch is a new tool for real-time capture and sensitive physical stimulation of sound samples using digital convolution. Our hand-held wand can be used to (1) record sound, then (2) play back the recording by brushing, scraping, striking or otherwise physically manipulating the wand against physical objects. During playback, the recorded sound is continuously filtered by the acoustic interaction of the wand and the material being touched. The Sound of Touch enables a physical and continuous sculpting of sound that is typical of acoustic musical instruments and interactions with natural objects and materials, but not available in GUI-based tools or most electronic music instruments. This paper reports the design of the system and observations of thousands of users interacting with it in an exhibition format. Preliminary user feedback suggests future applications to foley, professional sound design, and musical performance.
David Merrill, Hayes Raffle, Roberto Aimi
CHI3