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Ivan M. Spain

dblp:92/4172 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2004
—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 · 67% Motion planning and robot control · 33%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
dexterous manipulation
0.012004
Mobile Manipulation using NASA's Robonaut · ICRA 2004
Robotics › Robot manipulation
mobile manipulation
0.012004
Mobile Manipulation using NASA's Robonaut · ICRA 2004
Robotics › Motion planning and robot control
robot control
0.012004
Mobile Manipulation using NASA's Robonaut · ICRA 2004
Human-robot interaction
teleoperation
0.012004
Telepresence control of the NASA/DARPA robonaut on a mobility platform · CHI 2004
Human-robot interaction › teleoperation
telepresence control
0.012004
Telepresence control of the NASA/DARPA robonaut on a mobility platform · CHI 2004
Human-robot interaction › teleoperation
virtual reality teleoperation
0.012004
Telepresence control of the NASA/DARPA robonaut on a mobility platform · CHI 2004

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

virtual reality · 0.0teleoperation · 0.0coordinated control · 0.0
YearPublicationVenuePosition
2004 Telepresence control of the NASA/DARPA robonaut on a mobility platform
abstract
Engineers at the Johnson Space Center recently combined the upper body of the National Aeronautics and Space Administration (NASA) / Defense Advanced Research Projects Agency (DARPA) Robonaut system with a Robotic Mobility Platform (RMP) to make an extremely mobile humanoid robot designed to interact with human teammates. Virtual Reality gear that immerses a human operator into Robonaut's working environment provides the primary control pathway for remote operations. Human/robot interface challenges are addressed in the control system for teleoperators, console operators and humans working directly with the Robonaut. Multiple control modes are available for controlling the five fingered dexterous robot hands and operator selectable depending on the type of grasp required. A relative positioning system is used to maximize operator comfort during arm and head motions. Foot pedals control the mobility base. Initial tasks that include working with human rated tools, navigating hallways and cutting wires are presented and show the effectiveness of telepresence control for this class of robot.
Michael Goza, Robert O. Ambrose, Myron A. Diftler, Ivan M. Spain
CHI4
2004 Mobile Manipulation using NASA's Robonaut
abstract
The Johnson Space Center has developed a new mobile manipulation system with the combination of a Robonaut upper body mounted onto a Segway mobile base. The objective is to study a fluid and coordinated control of dexterous limbs on a mobile robot. The system has been demonstrated interacting with people, tools, and urban interfaces built for humans. Human interactions have included manually exchanging objects with humans, following people, and tracking people with hand held objects such as flashlights. Like other configurations of the Robonaut family, the upper body provides dexterity for using tools such as wire cutters, shovels, space flight gear, and handling flexible tethers and fabrics. The Segway base is a custom version called the Robotic Mobility Platform (RMP) built for DARPA, and provided to NASA for this collaborative effort. The RMP's active balance gives Robonaut a relatively small footprint for its height, allowing it to pass through doors and elevators built for humans, and use wheelchair accessible ramps and lifts. Lessons learned from this development are presented to improve the design of future mobile manipulation systems, and the Segway base provides mobility to Robonaut for Earth based testing.
Robert O. Ambrose, Robert T. Savely, Michael Goza, Philip Strawser, Myron A. Diftler, Ivan M. Spain, Nicolaus A. Radford
ICRA6