A Framework for Predicting Haptic Feedback in Needle Insertion in 5G Remote Robotic Surgery

Boabang, Francis; Glitho, Roch; Elbiaze, Halima; Belqami, Fatna; Alfandi, Omar

doi:10.1109/ccnc46108.2020.9045432

Cited by 18 publications

(16 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More recently, a hidden Markov model (HMM) is used in [111] to encapsulate a set of expert force/torque profiles and corresponding parameters during an offline training process, followed by exploiting a Gaussian mixture regression to reproduce a generalized version of the force/torque profile during the prediction of the lost haptic feedback information in remote needle insertion application. HMM is used to account for the variability of the spatial and temporal data.…”

Section: Intelligent Prediction Schemesmentioning

confidence: 99%

“…Moreover, given that using a first-order HMM in [111] is shown to achieve promising results, exploiting the temporal correlation within haptic samples by considering a larger number of past observations rather than just the preceding sample appears to be promising. As such, it would be worthwhile to investigate the impact of higher order HMMs on reducing the prediction error.…”

Section: Intelligent Predictionmentioning

confidence: 99%

“…In particular, the AI engines can be cached and run in close proximity of the Tactile Internet users and help them experience a seamless, immersive experience. The research on the application of AI in the Tactile Internet has just started to receive attention (e.g., [49], [50], [61], [111]).…”

Section: Intelligent Prediction Schemesmentioning

confidence: 99%

“…It is shown that the proposed edge sample forecaster is capable of making accurate predictions within the 1 ms deadline. Moreover, after training a HMM model with a set of expert force/torque profiles, the authors of [111] made predictions using a Gaussian mixture regression during a remote needle insertion in robotic telesurgery applications. Further, the authors of [61] have designed a two-stage AI model, where a set of ANN-based binary classifiers are used along with reinforcement learning to forecast the haptic feedback.…”

Section: ) Summarymentioning

confidence: 99%

See 3 more Smart Citations

A Comprehensive Survey of the Tactile Internet: State-of-the-Art and Research Directions

Promwongsa

Ebrahimzadeh

Naboulsi

et al. 2021

IEEE Commun. Surv. Tutorials

Self Cite

101

View full text Add to dashboard Cite

The Internet has made several giant leaps over the years, from a fixed to a mobile Internet, then to the Internet of Things, and now to a Tactile Internet. The Tactile Internet goes far beyond data, audio and video delivery over fixed and mobile networks, and even beyond allowing communication and collaboration among things. It is expected to enable haptic communications and allow skill set delivery over networks. Some examples of potential applications are telesurgery, vehicle fleets, augmented reality and industrial process automation. Several papers already cover many of the Tactile Internet-related concepts and technologies, such as haptic codecs, applications, and supporting technologies. However, none of them offers a comprehensive survey of the Tactile Internet, including its architectures and algorithms. Furthermore, none of them provides a systematic and critical review of the existing solutions. To address these lacunae, we provide a comprehensive survey of the architectures and algorithms proposed to date for the Tactile Internet. In addition, we critically review them using a well-defined set of requirements and discuss some of the lessons learned as well as the most promising research directions.

show abstract

Section: Intelligent Prediction Schemesmentioning

confidence: 99%

Section: Intelligent Predictionmentioning

confidence: 99%

Section: Intelligent Prediction Schemesmentioning

confidence: 99%

Section: ) Summarymentioning

confidence: 99%

See 2 more Smart Citations

A Comprehensive Survey of the Tactile Internet: State-of-the-Art and Research Directions

Promwongsa

Ebrahimzadeh

Naboulsi

et al. 2021

IEEE Commun. Surv. Tutorials

Self Cite

101

View full text Add to dashboard Cite

show abstract

“…This limitation makes the design of master and slave robots for MIS teleoperation systems challenging. In fact, the development and control of teleoperation systems for MIS are still up to date (Boabang et al, 2020;Iijima et al, 2020;Saracino et al, 2020). Since there are always possible improvements, many studies focus on the identification of the required workspace for MIS (Thakre et al, 2008;Pisla et al, 2008;Cavusoglu et al, 2001).…”

Section: Minimally Invasive Surgerymentioning

confidence: 99%

Design of a 4-DoF (degree of freedom) hybrid-haptic device for laparoscopic surgery

2021

View full text Add to dashboard Cite

Abstract. This paper presents a novel kinematics architecture with 4 DoFs (degrees of freedom) intended to be used as a haptic interface for laparoscopic surgery. The proposed architecture is a result of an association of serial and parallel kinematics chains, with each one handling a part of the whole device DoF. The serial chain allows one to handle the translation and self-rotation and the parallel chain handles the two tilt motions, and this in a disjoint way as the natural gesture of the surgeon. The proposed hybrid-haptic device (HH device) benefits from the split DoF to ensure a good kinematic performance, large workspace, as well as gravity compensation. The kinematics study of the HH device is presented and followed by the optimal dimensional synthesis and the gravity compensation model.

show abstract

Robot‐assisted radical prostatectomy using hugo RAS system: The pioneer experience in Taiwan and Northeast Asia

Ou,

Juan

et al. 2023

Robotics Computer Surgery

View full text Add to dashboard Cite

BackgroundAmong the novel robotic platforms, the Hugo RAS system is the second most studied platform, next to the da Vinci system, and we aim to address our experiences in radical prostatectomy (RP) with the Hugo RAS system.MethodsWe recorded our first 12 cases of prostate cancer undergoing RP with the Hugo RAS system. The median console time was 145 min and median hospital stay was 7 days. Hedge’ g was applied to search for the cut‐off case in four parameters in surgeries.ResultsPre‐console preparation was significantly improved after the first seven cases, and the console time was remarkably shortened after the first two cases. The intraoperative pause for trouble shooting was remarkably shortened after the first three cases.ConclusionsWe found that RP with the Hugo RAS system was feasible, and the learning curve was short as surgeons may benefit from the previous experience with the da Vinci system.

show abstract

A Framework for Predicting Haptic Feedback in Needle Insertion in 5G Remote Robotic Surgery

Cited by 18 publications

References 17 publications

A Comprehensive Survey of the Tactile Internet: State-of-the-Art and Research Directions

A Comprehensive Survey of the Tactile Internet: State-of-the-Art and Research Directions

Design of a 4-DoF (degree of freedom) hybrid-haptic device for laparoscopic surgery

Robot‐assisted radical prostatectomy using hugo RAS system: The pioneer experience in Taiwan and Northeast Asia

Contact Info

Product

Resources

About