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O. Madrigal

dblp:01/4162 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1999
—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.

Artificial intelligence
1 paper
Motion planning and robot control · 100%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
operational space control
0.011999
ProVAR Assistive Robot System Architecture · ICRA 1999
Robotics › Motion planning and robot control
robot control
0.011999
ProVAR Assistive Robot System Architecture · ICRA 1999
Human-robot interaction
assistive robotics
0.011999
ProVAR Assistive Robot System Architecture · ICRA 1999
Human-robot interaction › assistive robotics
assistive manipulation
0.011999
ProVAR Assistive Robot System Architecture · ICRA 1999

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

operational space formulation · 0.0direct-manipulation simulation · 0.0
YearPublicationVenuePosition
1999 ProVAR Assistive Robot System Architecture
abstract
This paper describes the implementation of a robot control architecture designed to combine a manipulation task design environment with a motion controller that uses the operational space formulation to define and implement arm trajectories and object manipulation. The ProVAR desktop manipulation system is an assistive robot for individuals with a severe physical disability, such as quadriplegia as a result of a high-level spinal cord injury. ProVAR allows non-technical operators access to the robot's capabilities through a direct-manipulation simulation/preview user interface. The novel interface concept is based on two built-in characters to play the roles of helpful consultant and down-to-earth robot arm. This team-based interface concept was chosen to maximize user performance and comfort in controlling the inherently complex mechatronic technology. This paper describes our design decisions and rationale.
H. F. Machiel Van der Loos, J. Joseph Wagner, Niels Smaby, Kyong-Sok Chang, O. Madrigal, Larry J. Leifer, Oussama Khatib
ICRA5