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Brian K. Hargrave

dblp:12/9967 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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
2 papers
Robot manipulation · 46% Motion planning and robot control · 32% Legged, aerial and field robots · 22%
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 › Motion planning and robot control › robot control › motion control
position control
0.112012
Position control of tendon-driven fingers with position controlled actuators · ICRA 2012
Robotics › Robot manipulation › robot design › manipulator design
tendon-driven manipulator
0.112012
Position control of tendon-driven fingers with position controlled actuators · ICRA 2012
Robotics › Robot manipulation
dexterous manipulation
0.112011
Robonaut 2 - The first humanoid robot in space · ICRA 2011
Robotics › Legged, aerial and field robots
humanoid robot
0.112011
Robonaut 2 - The first humanoid robot in space · ICRA 2011
Human-robot interaction
human-robot collaboration
0.112011
Robonaut 2 - The first humanoid robot in space · ICRA 2011
Robotics › Motion planning and robot control › robot control › force control
tension control
0.012012
Position control of tendon-driven fingers with position controlled actuators · ICRA 2012

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

force sensing · 0.2distributed control · 0.2range-space constraint · 0.1nested actuator position control · 0.1
YearPublicationVenuePosition
2012 Position control of tendon-driven fingers with position controlled actuators
abstract
Conventionally, tendon-driven manipulators implement some force-based controller using either tension feedback or dynamic models of the actuator. The force control allows the system to maintain proper tensions on the tendons. In some cases, whether it is due to the lack of tension feedback or actuator torque control, a purely position-based controller is needed. This work compares three position controllers for tendon-driven manipulators that implement a nested actuator position controller. A new controller is introduced that achieves the best overall performance with regards to speed, accuracy, and transient behavior. To compensate for the lack of tension control, the controller nominally maintains the internal tension on the tendons through a range-space constraint on the actuator positions. These control laws are validated experimentally on the Robonaut-2 humanoid hand.
Muhammad E. Abdallah, Robert Platt 0001, Brian K. Hargrave, Frank Permenter
ICRA3
2011 Robonaut 2 - The first humanoid robot in space
abstract
NASA and General Motors have developed the second generation Robonaut, Robonaut 2 or R2, and it is scheduled to arrive on the International Space Station in early 2011 and undergo initial testing by mid-year. This state of the art, dexterous, anthropomorphic robotic torso has significant technical improvements over its predecessor making it a far more valuable tool for astronauts. Upgrades include: increased force sensing, greater range of motion, higher bandwidth, and improved dexterity. R2's integrated mechatronic design results in a more compact and robust distributed control system with a fraction of the wiring of the original Robonaut. Modularity is prevalent throughout the hardware and software along with innovative and layered approaches for sensing and control. The most important aspects of the Robonaut philosophy are clearly present in this latest model's ability to allow comfortable human interaction and in its design to perform significant work using the same hardware and interfaces used by people. The following describes the mechanisms, integrated electronics, control strategies, and user interface that make R2 a promising addition to the Space Station and other environments where humanoid robots can assist people.
Myron A. Diftler, Joshua Mehling, Muhammad E. Abdallah, Nicolaus A. Radford, Lyndon Bridgwater, Adam M. Sanders, R. Scott Askew, D. Marty Linn, John D. Yamokoski, Frank Permenter, Brian K. Hargrave, Robert Platt 0001, Robert T. Savely, Robert O. Ambrose
ICRA11