Automation of end effector guidance of robotic arm for dental implantation using computer vision

Yeotikar, Suyash; Parimi, Alivelu M.; Rao, Y. V. Daseswar

doi:10.1109/discover.2016.7806263

Cited by 8 publications

(2 citation statements)

References 4 publications

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“…Except for two articles discussing a commercially available robot, the majority fell under the basic research group [21]. Techniques included indirect assistance in creating drill guides, direct drill guidance through coordinate measuring machines or computer vision, and telerobotic systems with haptic feedback during implant drilling [21][22][23][24]. Yuan et al [25] highlighted the development of an ultra-short pulse laser robot-controlled system for implant site preparation.…”

Section: Implantology and Surgerymentioning

confidence: 99%

Technology Readiness Level of Robotic Technology and Artificial Intelligence in Dentistry: A Comprehensive Review

Nassani,

Javed,

Amer

et al. 2024

Surgeries

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This comprehensive review assessed the integration of robotics and artificial intelligence (AI) in dentistry, offering a transparent overview of developments across dental fields. Covering articles in prosthodontics, orthodontics, implantology, surgery, and radiology, the review included 39 articles on robotics and 16 on AI. Screening adhered to PRISMA guidelines, with searches conducted on Medline, Google Scholar, and IEEE. Incorporating the search strategy, the review used keywords related to dentistry, robotics, and AI. For robotics, 296 articles were screened, resulting in 39 qualifying for qualitative synthesis. A separate AI search on PubMed identified 142 studies within the last decade, with 16 studies selected for a detailed full-text analysis, offering a consolidated overview of the current state-of-the-art knowledge in the AI domain. Geographic distribution highlighted East Asia as a major research contributor. The findings indicate an increasing trend in dentistry robotics since 2000 and, particularly since 2016, in AI dentistry. The majority of the literature fell under the category of basic research. The technology readiness level did not cross “three” (proof of concept) in 41% of all articles. Therefore, the overall literature quality remains low, particularly regarding clinical validation.

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Section: Implantology and Surgerymentioning

confidence: 99%

Technology Readiness Level of Robotic Technology and Artificial Intelligence in Dentistry: A Comprehensive Review

Nassani,

Javed,

Amer

et al. 2024

Surgeries

View full text Add to dashboard Cite

show abstract

“…Finally, applications of modern technologies such as adaptations of computer vision (both 2D and depth (Ko and Park 2018)) and Artificial Intelligence (AI) (Gürgan and Yildirim 2016), can guide robotic arms to perform multiple and precise operations such as setting up a closed loop feedback control system to get to the target location for drilling the hole in a jaw (Yeotikar et al 2016) or measurement applications of artificial denture verification and test through high-precision pressure sensors (Datta and Chaki 2015), or even estimate the age (Ahmad et al 2014).…”

Section: Overview Of Dental Roboticsmentioning

confidence: 99%

Intelligent automation of dental material analysis using robotic arm with Jerk optimized trajectory

Damaševičius

Maskeliūnas

Narvydas

et al. 2020

J Ambient Intell Human Comput

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Many types of biomaterial analysis require numerous repetition of the same operations. We suggest applying the principles of Total Laboratory Automation (TLA) for analysis of dental tissues in in-vitro conditions. We propose an innovative robotic platform with ABB high precision industrial robotic arm. We programmed the robot to achieve 3000 cycles of submerging for analysis of the stability and thermal wear of dental adhesive materials. We address the problem of robot trajectory planning to achieve smooth and precise trajectory while minimizing jerk. We generate different variants of trajectory using natural cubic splines and adopt the NSGA II multiobjective evolutionary algorithm to find a Pareto-optimal set of robot arm trajectories. The results demonstrate the applicability of the developed robotic platform for in-vitro experiments with dental materials. The platform is suitable for small or medium size dental laboratories.

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Robot technology in dentistry, part one of a systematic review: literature characteristics

Riet

Sem

et al. 2021

Dental Materials

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Automation of end effector guidance of robotic arm for dental implantation using computer vision

Cited by 8 publications

References 4 publications

Technology Readiness Level of Robotic Technology and Artificial Intelligence in Dentistry: A Comprehensive Review

Technology Readiness Level of Robotic Technology and Artificial Intelligence in Dentistry: A Comprehensive Review

Intelligent automation of dental material analysis using robotic arm with Jerk optimized trajectory

Robot technology in dentistry, part one of a systematic review: literature characteristics

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