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Joshua L. Richmond

dblp:28/924 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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.

Human-computer interaction and pervasive computing
2 papers
Haptics and multimodal interaction · 100%
Computer graphics and multimedia
2 papers
Computer animation and physical simulation · 64% Rendering · 19% Audio and music processing · 17%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 2 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering
interactive rendering
0.012001
Scanning physical interaction behavior of 3D objects · SIGGRAPH 2001
Robotics › Robot manipulation
robot sensing
0.012000
Active Measurement of Contact Sounds · ICRA 2000

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

robotic measurement · 0.1robotic scanning · 0.1parameter estimation · 0.1
YearPublicationVenuePosition
2001 Scanning physical interaction behavior of 3D objects
abstract
We describe a system for constructing computer models of several aspects of physical interaction behavior, by scanning the response of real objects. The behaviors we can successfully scan and model include deformation response, contact textures for interaction with force-feedback, and contact sounds. The system we describe uses a highly automated robotic facility that can scan behavior models of whole objects. We provide a comprehensive view of the modeling process, including selection of model structure, measurement, estimation, and rendering at interactive rates. The results are demonstrated with two examples: a soft stuffed toy which has significant deformation behavior, and a hard clay pot which has significant contact textures and sounds. The results described here make it possible to quickly construct physical interaction models of objects for applications in games, animation, and e-commerce.
Dinesh K. Pai, Kees van den Doel, Doug L. James, Jochen Lang 0001, John E. Lloyd, Joshua L. Richmond, Som H. Yau
SIGGRAPH6
2000 Active Measurement of Contact Sounds
abstract
We describe a system for robotic measurement of contact sounds. This system is well suited for acquiring impulse-response sound models. A brief explanation of the sound models is included. We also describe experimental results to illustrate the process of acquiring sound models using our system, and a brief analysis of the results. The initial results are promising and could lead to applications in reality-based modeling and object recognition.
Joshua L. Richmond, Dinesh K. Pai
ICRA1