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Mark R. Claffee

dblp:89/3993 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2006
—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 · 77% Motion planning and robot control · 23%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › object manipulation › tool manipulation
robotic cutting
0.122006
Cutting, "by Pressing and Slicing", Applied to Robotic Cutting Bio-materials. I. Modeling of Stress Distribution · ICRA 2006
Cutting, 'by Pressing and Slicing', applied to the Robotic Cut of Bio-materials. II. Force during Slicing and Pressing Cuts · ICRA 2006
Robotics › Motion planning and robot control › robot control
force control
0.022006
Cutting, "by Pressing and Slicing", Applied to Robotic Cutting Bio-materials. I. Modeling of Stress Distribution · ICRA 2006
Cutting, 'by Pressing and Slicing', applied to the Robotic Cut of Bio-materials. II. Force during Slicing and Pressing Cuts · ICRA 2006

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

stress tensor analysis · 0.1stress analysis · 0.1slicing angle optimization · 0.1direct integral method · 0.1
YearPublicationVenuePosition
2006 Cutting, 'by Pressing and Slicing', applied to the Robotic Cut of Bio-materials. II. Force during Slicing and Pressing Cuts
abstract
The applications of robotics are becoming more and more common in non-traditional industries such as the medical industry including robotic surgery and sample microtoming as well as food industry that include the processing of meats, fruits and vegetables. In this paper, the influence of the blade edge-shape and its slicing angle on the cutting of biomaterials are formulated and discussed based on the stress analysis that has been presented in part I. Through modeling the cutting force, an optimal slicing angle can be formulated to maximize the feed rate while minimizing the cutting forces. Moreover, the method offers a means to predict cutting forces between the blade and the biomaterials, and a basis for design of robust force control algorithms for automating the cutting of biomaterials
Debao Zhou, Mark R. Claffee, Kok-Meng Lee, Gary V. McMurray
ICRA2
2006 Cutting, "by Pressing and Slicing", Applied to Robotic Cutting Bio-materials. I. Modeling of Stress Distribution
abstract
Bio-material cutting, such as meat deboning, is one the most common operations in food processing. Automating this process using robotic devices with closed-loop force control has shown some promise. The control of the force trajectory directly relates to the internal stress in the material being cut, and must provide enough force to initiate the cut. The ability to model the stress distribution in the bio-materials being cut would provide a better understanding of the influencing factors and help predict the required cutting force for the design of the cutting mechanism and for automating the cutting operations. This research is presented in two parts: part I models the stress distribution when a blade acts on the bio-material and part II discusses the principles of biomaterial cutting. Starting with modeling a point force in the normal and tangential direction on the boundary of a semi-infinite body, an analytical expression for the stress tensor has been obtained and simulated using direct integral method. This paper provides the theoretical basis for explaining the cutting phenomena and predicting the cutting forces, a topic to be presented in part II
Debao Zhou, Mark R. Claffee, Kok-Meng Lee, Gary V. McMurray
ICRA2