Richard M. Stanley

dblp:135/8316 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—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 · 67% Robot manipulation · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
force control
0.212013
Active preload control of a redundantly actuated Stewart platform for backlash prevention · ICRA 2013
Robotics › Robot manipulation › parallel manipulator
gough-stewart platform
0.212013
Active preload control of a redundantly actuated Stewart platform for backlash prevention · ICRA 2013
Robotics › Motion planning and robot control › robot control
parallel robot control
0.212013
Active preload control of a redundantly actuated Stewart platform for backlash prevention · ICRA 2013

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

online optimization · 0.2inverse dynamics · 0.2force control · 0.2
YearPublicationVenuePosition
2013 Active preload control of a redundantly actuated Stewart platform for backlash prevention
abstract
There is an increasing trend to use Stewart platforms to implement ultra-high precision tasks under large external loads (e.g. biomechanical testing) mainly due to their high stiffness, and high load carrying capacity. However, the backlash or joint clearance in the system can significantly degrade the accuracy. This work studied the application of actuation redundancy in a general Stewart platform to regulate the preloads on its active joints for the purpose of backlash prevention. A novel active preload control method was proposed to achieve a real-time approach that is robust to large six degree of freedom external loads. The proposed preload method applies an inverse-dynamics based online optimization algorithm to calculate the desired force trajectory of the redundant actuator, and uses a force control scheme to achieve the required force. Simulation results demonstrate that this method is able to eliminate backlash inaccuracies during application of large external loads and therefore ensure the precision of the system.
Boyin Ding, Benjamin S. Cazzolato, Steven Grainger, Richard M. Stanley, John J. Costi
ICRA4