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Andreas Schmitz

dblp:24/9359 · DBLP profile ↗
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6ranked-venue papers
5as first author
0since 2021 · last 2020
—ORCID · conflict

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

Artificial intelligence and machine learning · 6 · 5 first-authorSystems, architecture and hardware · 4 · 3 first-author

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 · 92% Legged, aerial and field robots · 8%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics
surgical robotics
0.822020
Design and Compensation Control of a Flexible Instrument for Endoscopic Surgery · ICRA 2020
A Rolling-Tip Flexible Instrument for Minimally Invasive Surgery · ICRA 2019
Robotics › Robot manipulation › cable-driven robot
tendon-driven manipulation
0.412020
Design and Compensation Control of a Flexible Instrument for Endoscopic Surgery · ICRA 2020
Robotics › Robot manipulation › medical robotics › surgical robotics
minimally invasive surgery
0.112019
A Rolling-Tip Flexible Instrument for Minimally Invasive Surgery · ICRA 2019
Robotics › Legged, aerial and field robots › bio-inspired robot
snake robot
0.112019
A Rolling-Tip Flexible Instrument for Minimally Invasive Surgery · ICRA 2019

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

kinematic calibration · 0.4compensation control · 0.4tendon-driven actuation · 0.4rolling-tip mechanism · 0.4
YearPublicationVenuePosition
2020 Design and Compensation Control of a Flexible Instrument for Endoscopic Surgery
abstract
Snake-like robots for endoscopic surgery make it possible to reach deep-seated lesions. With the use of small flexible tendon-driven instruments, it is possible to perform bimanual micro-surgical tasks that are challenging for standard endoscopic surgeries. Existing devices, however, lack articulated wrists and rolling motion of the end-effector. This paper presents a new instrument design with a distal-roll gripper for snake-like robots. The developed 5 DoFs miniaturized instruments with a diameter of 3 mm enable the deployment into narrow endoluminal channels. Issues related to actuation coupling, tendon slack, and backlash are addressed. Experimental results show that the distal-roll gripper can rotate 106°, and the actuated joints can achieve good repeatability and accuracy with the proposed compensation control scheme.
Wuzhou Hong, Andreas Schmitz, Weibang Bai, Pierre Berthet-Rayne, Le Xie 0002, Guang-Zhong Yang
ICRA2
2019 A Rolling-Tip Flexible Instrument for Minimally Invasive Surgery
abstract
Snake-like robots are commonly used in Minimally Invasive Surgery as they are able to reach areas deep inside the human body. These robots have instruments that are deployed out of the robot's head and controlled via tendons, which connect the instrument to motors at the proximal end. In most currently available systems the instruments are lacking a rolling motion of the end-effector.In this paper, we present a new instrument prototype for a snake-like robot that can perform a stable in-place rolling motion. The prototype has a diameter of 4mm, uses 13 tendons and has 6 degrees of freedom. The robot can bend and roll to high angles, and strongly improves the dexterity compared to an instrument without rolling capabilities. In the evaluation we show that the rolling-tip gripper can rotate about 165° and is capable of applying forces up to 6.5N.
Andreas Schmitz, Shen Treratanakulchai, Pierre Berthet-Rayne, Guang-Zhong Yang
ICRA1
2019 Endoscopic Bi-Manual Robotic Instrument Design Using a Genetic Algorithm
abstract
Over the last few years, there has been a significant rise in designing small, agile and flexible medical systems that can navigate through natural orifices. In the case of endoscopic surgery, existing systems vary significantly from each other which raises the question of the existence of a general design that can do it all. In this context, this paper proposes to use a genetic algorithm combined with recorded suturing and anatomical data to automatically design a pair of robotic instruments for the i2Snake under strict mechanical constraints. The resulting automatically generated instrument designs include a 6 degrees of freedom instrument that can follow a predefined trajectory accurately and a more simple 4 degrees of freedom instrument that can accomplish most of the task. The results also showed the importance of having a prismatic joint to gain the precision required for endoscopic surgery.
Andreas Schmitz, Pierre Berthet-Rayne, Guang-Zhong Yang
IROS1
2017 Shape sensing of miniature snake-like robots using optical fibers
abstract
Snake like continuum robots are increasingly used for minimally invasive surgery. Most robotic devices of this sort that have been reported to date are controlled in an open loop manner. Using shape sensing to provide closed loop feedback would allow for more accurate control of the robot's position and, hence, more precise surgery. Fiber Bragg Gratings, magnetic sensors and optical reflectance sensors have all been reported for this purpose but are often limited by their cost, size, stiffness or complexity of fabrication. To address this issue, we designed, manufactured and tested a prototype two-link robot with a built-in fiber-optic shape sensor that can deliver and control the position of a CO2-laser fiber for soft tissue ablation. The shape sensing is based on optical reflectance, and the device (which has a 4 mm outer diameter) is fabricated using 3D printing. Here we present proof-of-concept results demonstrating successful shape sensing - i.e. measurement of the angular displacement of the upper link of the robot relative to the lower link - in real time with a mean measurement error of only 0.7°.
Andreas Schmitz, Alex J. Thompson 0001, Pierre Berthet-Rayne, Carlo Seneci, Piyamate Wisanuvej, Guang-Zhong Yang
IROS1
2011 Real-Time Trajectory Generation by Offline Footstep Planning for a Humanoid Soccer Robot
Andreas Schmitz, Marcell Missura, Sven Behnke
RoboCup1
2010 Learning Footstep Prediction from Motion Capture
Andreas Schmitz, Marcell Missura, Sven Behnke
RoboCup1