End-effector path planning and collision avoidance for robot-assisted surgery

2016 ◽  
Vol 17 (12) ◽  
pp. 1703-1709 ◽  
Author(s):  
Quoc Cuong Nguyen ◽  
Youngjun Kim ◽  
Sehyung Park ◽  
HyukDong Kwon
Keyword(s):  
Path Planning ◽  
Collision Avoidance ◽  
Robot Assisted ◽  
End Effector ◽  
Robot Assisted Surgery

Motor Skill Evaluation During Robot-Assisted Surgery

2017 ◽  
Author(s):  
Somayeh B. Shafiei ◽  
Lora Cavuoto ◽  
Khurshid A. Guru
Keyword(s):  
Motor Skills ◽  
Power Law ◽  
Motor Skill ◽  
Dynamic Change ◽  
Robot Assisted ◽  
End Effector ◽  
Remote Manipulation ◽  
Home Based ◽  
Skill Evaluation ◽  
Robot Assisted Surgery

Remote manipulation during robot-assisted surgery requires proficiency in perception, cognition, and motor skills. We aim to understand human motor control in remote manipulation of robotic surgical instrument and attempt to measure motor skills. Three features, smoothness, normalized jerk score, and two-thirds power law coefficient, estimating the motor skills of surgeons were analyzed. These features were calculated through segments, extracted from continuous end-effector trajectories during suturing, knot-tying, and needle-passing surgical tasks, performed by 8 right-handed subjects on bench-top models using da vinci surgical kit control system. Each subject repeated each task five times. Totally 1567 segments were extracted, 413, 437, and 717 segments performed by experts, intermediates, and novice subjects, respectively. Dynamic change of kinematic properties was analyzed to evaluate the relationship between considered features and motor skill level. Results show smoothness is significantly correlated with normalized jerk score and both features are significant measures of expertise levels. Also, results show the power law is violated by many end-effector trajectories and there is no relationship between obeying two-thirds power law, smoothness and jerk. We conclude trajectory is improved from non-smooth and jerky in novices to smooth in expert surgeons. This property may be used for motor skill evaluation. It is unlikely that obeying two-thirds power law be a valid property of all end-effector trajectories. However, power law coefficient may be a discriminant feature for levels of expertise. The results are also applicable in a home-based monitoring platform, to monitor motor functioning improvement of stroke patients during rehabilitation process.

Collision avoidance in robot assisted surgery

2002 ◽  
pp. 80-85 ◽  
Author(s):  
A. Austad ◽  
O. J. Elle ◽  
L. Aurdal ◽  
E. Samset ◽  
H. Fontenelle ◽  
...  
Keyword(s):  
Collision Avoidance ◽  
Robot Assisted ◽  
Robot Assisted Surgery

Simulation-based Adaptive Training for Robot-Assisted Surgery: a Feasibility Study on Medical Residents

2019 ◽  
Author(s):  
A Mariani ◽  
◽  
E Pellegrini ◽  
A Menciassi ◽  
E De Momi ◽  
...  
Keyword(s):  
Feasibility Study ◽  
Medical Residents ◽  
Robot Assisted ◽  
Adaptive Training ◽  
Simulation Based ◽  
Robot Assisted Surgery

Do People Trust in Robot-Assisted Surgery? Evidence from Europe (Preprint)

2020 ◽  
Author(s):  
Joan Torrent-Sellens ◽  
Ana Jiménez-Zarco ◽  
Francesc Saigí-Rubió
Keyword(s):  
Technology Acceptance ◽  
Surgical Intervention ◽  
Negative Relationship ◽  
Predictor Variable ◽  
Major Change ◽  
Ease Of Use ◽  
The European Union ◽  
Robot Assisted ◽  
Surgical Interventions ◽  
Robot Assisted Surgery

BACKGROUND Increasingly intelligent and autonomous robots are destined to have a huge impact on our society. Their adoption, however, represents a major change to the healthcare sector’s traditional practices, which, in turn, poses certain challenges. To what extent is it possible to foresee a near-future scenario in which minor routine surgery is directed by robots? And what are the patients’ or general public’s perceptions of having surgical procedures performed on them by robots, be it totally or partially? A patient’s trust in robots and AI may facilitate the spread and use of such technologies. OBJECTIVE The goal of our study was to establish the factors that influence how people feel about having a medical operation performed on them by a robot. METHODS We used data from a 2017 Flash Eurobarometer (number 460) of European Commission with 27,901 citizens aged 15 years and over in the 28 countries of the European Union. The research designs and tests a technology acceptance model (TAM). Logistic regression (odds ratios, OR) to model the predictors of trust in robot-assisted surgery was calculated through motivational factors, robots using experience and sociodemographic independent variables. RESULTS The negative relationship between most of the predictors of ease of use, expected benefits and attitude towards robots, and confidence in robot-assisted surgery was contrasted. The only non-sociodemographic predictor variable that has a positive relationship with trust in robots participating in a surgical intervention is previous experience in the use of robots. In this context, we analyze the confidence predictors for three different levels of robot use experience (zero use, average use, and high use). The results obtained indicate that, as the experience of using robots increases, the predictive coefficients related to information, attitude and perception of robots become more negative. Research results also determined that variables of a sociodemographic nature played an important predictive role. It was confirmed that the effect of experience on trust in robots for surgical interventions was greater among men, people between 40 and 54 years old, and those with higher educational levels. CONCLUSIONS Despite the considerable benefits for the patient that the use of robots can bring in a surgical intervention, the results obtained show that trust in robots goes beyond rational decision-making. By contrasting the reasons that generate trust and mistrust in robots, especially by highlighting the experience of use as a key element, the research makes a new contribution to the state of the art and draws practical implications of the use of robots for health policy and practice.

scholarly journals Telemanipulation of an Articulated Robotic Arm using a Commercial Virtual Reality Controller

2020 ◽  
Vol 6 (3) ◽  
pp. 127-130
Author(s):  
Max B. Schäfer ◽  
Kent W. Stewart ◽  
Nico Lösch ◽  
Peter P. Pott
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Robotic Arm ◽  
Input Device ◽  
Robot Assisted ◽  
Promising Alternative ◽  
Input Devices ◽  
Current Input ◽  
Current Systems ◽  
Robot Assisted Surgery

AbstractAccess to systems for robot-assisted surgery is limited due to high costs. To enable widespread use, numerous issues have to be addressed to improve and/or simplify their components. Current systems commonly use universal linkage-based input devices, and only a few applicationoriented and specialized designs are used. A versatile virtual reality controller is proposed as an alternative input device for the control of a seven degree of freedom articulated robotic arm. The real-time capabilities of the setup, replicating a system for robot-assisted teleoperated surgery, are investigated to assess suitability. Image-based assessment showed a considerable system latency of 81.7 ± 27.7 ms. However, due to its versatility, the virtual reality controller is a promising alternative to current input devices for research around medical telemanipulation systems.

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