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Jesus Morales-Rodriguez

dblp:08/2776 · DBLP profile ↗
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1ranked-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 · 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 · 70% Robot manipulation · 30%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › trajectory planning
dynamic trajectory planning
0.012004
Adaptive Cartesian Motion Control Approach for a Surgical Robotic Cameraman · ICRA 2004
Robotics › Motion planning and robot control
robot control
0.012004
Adaptive Cartesian Motion Control Approach for a Surgical Robotic Cameraman · ICRA 2004
Robotics › Robot manipulation › medical robotics › medical robot control
surgical robot control
0.012004
Adaptive Cartesian Motion Control Approach for a Surgical Robotic Cameraman · ICRA 2004
Robotics › Motion planning and robot control › robot control › task-space robot control
cartesian space control
0.012004
Adaptive Cartesian Motion Control Approach for a Surgical Robotic Cameraman · ICRA 2004

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

joint position-velocity control · 0.0cartesian motion controller · 0.0
YearPublicationVenuePosition
2004 Adaptive Cartesian Motion Control Approach for a Surgical Robotic Cameraman
abstract
This paper presents an adaptive trajectory planning method concerning to the robotic assistant ERM (endoscopic robotic manipulator), designed and developed by the authors for handling the camera in laparoscopic surgery. In order to emulate the human assistant, camera movements must be defined relative to the fulcrum point, where the optic passes through the patient skin and enters inside the abdominal cavity. Since the robot has a passive wrist, and it is not fixed to the operating table, the relative position between the robot camera holder and the insertion point is unknown. In this way, the proposed approach keeps the camera orientation according to the motion references in spite of this uncertainty, and compensates other unexpected disturbances about the relative robot-patient position. This motion planner is based on a schema of a cartesian motion controller with inner joint position-velocity loop, and has been tested by means of experimentation with alive animals.
Victor F. Muñoz, Isabel García-Morales, Jesus Morales-Rodriguez, Jesús M. Gómez de Gabriel, Juan Jesús Fernández Lozano, Alfonso García-Cerezo
ICRA3