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Pei-jun Lv

dblp:138/4027 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2014
—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
1 paper
Motion planning and robot control · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › path planning
3d path planning
0.212014
3D path planning of a laser manipulation robotic system for tooth preparing · ICRA 2014
Robotics › Motion planning and robot control
motion planning
0.212014
3D path planning of a laser manipulation robotic system for tooth preparing · ICRA 2014
Robotics › Motion planning and robot control
path planning
0.212014
3D path planning of a laser manipulation robotic system for tooth preparing · ICRA 2014
Medical and health informatics
computer-assisted surgery
0.112014
3D path planning of a laser manipulation robotic system for tooth preparing · ICRA 2014

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

slicing algorithm · 0.6optimized path generation · 0.6
YearPublicationVenuePosition
2014 3D path planning of a laser manipulation robotic system for tooth preparing
abstract
In this paper, we proposed a 3D path planning method for a miniature robotic system, which can manipulate a beam of ultra-short pulse laser to cut a decayed tooth to formulate an expected 3D shape. Using high resolution STereo Lithography (STL) models of the original decayed tooth and the target preparing shape as the input, our method consists of a fast slicing algorithm and an optimized path generating algorithm, which realized a high efficient layer-by-layer cutting for laser ablation. Theoretical analysis on the geometric distortion and surface roughness was carried out to model the influence of the path planning algorithms on the accuracy of the prepared tooth. Experimental results on a real tooth indicate that the path planning method can maintain the accuracy for the laser ablation process.
Dangxiao Wang, Pei-jun Lv, Yuchun Sun
ICRA5
2013 Preliminary experiments of a miniature robotic system for tooth ablation using ultra-short pulsed lasers
abstract
As a preliminary step to achieve a long-term goal of developing an automatic dental preparation system for clinical operations, we design and build a miniature robotic system which can manipulate a laser beam to move in three dimensional spaces to remove hard tissue from a target tooth. The dental preparation requires the robotic system to own high accuracy, high ablation speed and small size. A 2D galvanometer scanners module is integrated to meet the requirement of a high moving speed of the laser focus. A closed-loop system based on a miniature-sized voice-coil motor and a grating ruler are developed to realize the accurate control of the focus. The overall size of the developed prototype is 108mm×56mm×43mm, which is small enough to be used in close proximity to a patient's mouth. The prototype has been tested by using two different kinds of laser generators, i.e., a nanosecond laser and a picosecond laser. The experiment results show that the robotic system can provide high moving speed of 1000mm/s with good shape accuracy. From the results, we found that nanosecond laser beam can be controlled to ablate zirconia and aluminum, but not suitable to ablate tooth because of tissue carbonization. By selecting suitable parameters of the picosecond laser generator, a target tooth could be ablated to produce a cylinder shape without carbonization. Limitations of the prototype are identified according to the experiment results.
Dangxiao Wang, Fusong Yuan, Yuchun Sun, Pei-jun Lv
IROS7