Relevant bibliographies by topics / Robotic guidance

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Robotic guidance'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 April 2022

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Journal articles on the topic "Robotic guidance"

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O'Donnell, B. D., O. O'Sullivan, A. G. Gallagher, and G. D. Shorten. "Robotic assistance with needle guidance." British Journal of Anaesthesia 114, no. 4 (April 2015): 708–9. http://dx.doi.org/10.1093/bja/aev045.

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Kronreif, Gernot, Martin Fürst, Joachim Kettenbach, Michael Figl, and Rudolf Hanel. "Robotic guidance for percutaneous interventions." Advanced Robotics 17, no. 6 (January 2003): 541–60. http://dx.doi.org/10.1163/15685530360675532.

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Agyei, Justice O., Asham Khan, Patrick K. Jowdy, Timothy E. O’Connor, Joshua E. Meyers, Jeffrey P. Mullin, and John Pollina. "Robot-Assisted Cortical Bone Trajectory Insertion of Pedicle Screws: 2-Dimensional Operative Video." Operative Neurosurgery 18, no. 5 (July 25, 2019): E171. http://dx.doi.org/10.1093/ons/opz216.

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Abstract Robot-assisted pedicle screw insertion has been slowly gaining popularity in the spine surgery community. In previous studies, robotics has been shown to increase accuracy and reduce complication rates compared to other navigation technologies, although those studies have been conducted using traditional trajectories for pedicle screw insertion. We present a surgical video in which a robotics system (Mazor X; Mazor Robotics Ltd, Caesarea, Israel) was used to create cortical bone trajectories for the insertion of the screws. The patient in this case is a 52-yr-old woman with severe L4-5 disc herniation requiring a transforaminal interbody fusion with the insertion of pedicle screws. The robotic system's scan-and-plan technique was utilized, in which an intraoperative computed tomography (CT) scan generates a real-time operative plan. Other techniques for inserting pedicle screws using cortical bone trajectories include CT navigation and fluoroscopic guidance. These techniques allow the surgeon to manually direct the screw under precise guidance in multiple planes, although the surgeon is still using all 6 degrees of freedom the human hand provides. With robotic guidance, a pilot hole is drilled, which eliminates 4 of 6 degrees of freedom, which can potentially reduce the risk of misplaced screws. To our knowledge, this is the first video demonstrating pedicle screw insertion through cortical bone trajectories using robotic guidance. Future studies are warranted to compare cortical bone trajectory insertion using different navigation techniques to determine the long-term efficacy of each technique. The patient gave informed consent for surgery and video recording. Institutional review board approval was deemed unnecessary.
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Nouaille, L., MA Laribi, CA Nelson, T. Essomba, G. Poisson, and S. Zeghloul. "Design process for robotic medical tool guidance manipulators." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 230, no. 2 (June 10, 2015): 259–75. http://dx.doi.org/10.1177/0954406215590639.

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This paper deals with the design process adapted to medical robots. The large diversity of kinematic architectures that can be encountered in medical robotics leads us to seek a robust method dedicated to tool-guidance medical robot design. First, we detail a proposed design process adapted especially for handling the inherent needs in tool-guidance in medical robotics. This proposed method ties together the phases of the design process with their respective tools. We describe the spectrum of medical robots and particularly the variety of kinematic architectures used. Each phase of the design process is detailed through application examples in the domains of tele-echography and minimally invasive surgery, which exhibit a number of commonalities. The use of tools for accomplishing the various steps of the design process is detailed, with emphasis on medical gesture analysis. This is followed by topological and dimensional synthesis. This study illustrates how the type of medical robot can impose specific requirements and a particular approach in the design process. We expect through this paper to bring a significant contribution to the design of medical tool-guidance robots and to facilitate their integration in the clinical environment. The main contribution of this work is to propose a design process method for robotic medical tool-guidance manipulators.
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Meyers, Joshua E., Asham Khan, and John Pollina. "Robotic Guidance for the Insertion of Posterior Pedicle Screws: 2-Dimensional Operative Video." Operative Neurosurgery 16, no. 6 (August 30, 2018): 766–67. http://dx.doi.org/10.1093/ons/opy246.

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Abstract Recent years have shown an increase in implementing robotics in surgical procedures. Utilizing robotic technology in spine surgery remains limited in comparison to other surgical fields. We present a surgical video of minimally invasive robotic-assisted insertion of posterior pedicle screws using the newest generation robotic technology (Mazor X, Mazor Robotics Ltd, Caesarea, Israel), in a 29-yr-old man who suffers from Grade I degenerative spondylolisthesis at L5-S1 levels and severe, right-sided foraminal stenosis. The plan was to perform anterior fusion at L5-S1 using robotic guidance with posterior pedicle screw supplementation due to his extensive smoking history. This technology has two distinct registration methods: (1) using a preoperative thin-cut computed tomography (CT) scan to create a surgical plan for screw placement; and (2) scan-and-plan using intraoperative 3-dimensional (3D) imaging to create a plan in real-time intraoperatively. We present the scan-and-plan technique. The widely used freehand technique allows the surgeon to manually direct tools and implants relying on the 6-degrees-of-freedom of the human arm. When Mazor X robotic technology is utilized, a pilot hole is drilled through a cannula docked to the bone above the entry point, which provides the surgeon with a planned trajectory and eliminates 4 of 6-degrees-of-freedom (up/down and yaw remain). This provides increased multidimensional control and reduces reliance on hand-eye coordination with simultaneous concentration on the imaging, potentially leading to increased rates of accuracy and reduction in severe complications of misplaced screws. Further prospective clinical studies are needed to determine the long-term effectiveness of this technology. Patient consent was obtained prior to performing the procedure. Institutional board review approval is not required for the report of a single case at the University at Buffalo.
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Snyder, Laura A. "Integrating robotics into a minimally invasive transforaminal interbody fusion workflow." Neurosurgical Focus 45, videosuppl1 (July 2018): V4. http://dx.doi.org/10.3171/2018.7.focusvid.18111.

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Minimally invasive transforaminal lumbar interbody fusion (MIS TLIF) is a well-accepted procedure with good outcomes. Robotics has the potential to augment these outcomes. This video demonstrates and discusses how surgeons can implement the use of a robotic device in an MIS TLIF workflow. The planning software and robotic arm guidance allow the surgeon to use intraoperative CT to guide the placement of pedicle screws in an MIS TLIF with optimal trajectory and decreased radiation. As robotic technology continues to improve, developing safe workflows that integrate robotics with currently well-established techniques should improve patient outcomes.The video can be found here: https://youtu.be/rJWOa6XVLW0.
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Khanna, Omaditya, Ryan Beasley, Daniel Franco, and Simon DiMaio. "The Path to Surgical Robotics in Neurosurgery." Operative Neurosurgery 20, no. 6 (May 13, 2021): 514–20. http://dx.doi.org/10.1093/ons/opab065.

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Abstract Robotic systems may help efficiently execute complicated tasks that require a high degree of accuracy, and this, in large part, explains why robotics have garnered widespread use in a variety of neurosurgical applications, including intracranial biopsies, spinal instrumentation, and placement of intracranial leads. The use of robotics in neurosurgery confers many benefits, and inherent limitations, to both surgeons and their patients. In this narrative review, we provide a historical overview of robotics and its implementation across various surgical specialties, and discuss the various robotic systems that have been developed specifically for neurosurgical applications. We also discuss the relative advantages of robotic systems compared to traditional surgical techniques, particularly as it pertains to integration of image guidance with the ability of the robotic arm to reliably execute pre-planned tasks. As more neurosurgeons adopt the use of robotics in their practice, we postulate that further technological advancements will become available that will help achieve improved technical capabilities, user experience, and overall patient clinical outcomes.
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Faissal, Zahrawi, Manzi Brian, and Sager Jill. "Comparative Retrospective Analysis of Accuracy of Robotic-Guided versus Fluoroscopy-Guided Percutaneous Pedicle Screw Placement in Adults with Degenerative Spine Disease." Open Orthopaedics Journal 12, no. 1 (December 31, 2018): 576–82. http://dx.doi.org/10.2174/1874325001812010576.

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Background:Robotic-guidance for pedicle screws can reportedly increase placement accuracies and surgical efficiencies especially in percutaneous approaches.Objective:The study aimed to compare the accuracy of percutaneous pedicle screw placement and post-operative course of robotic-guidance versus fluoroscopy-guidance performed by a surgeon experienced in performing fluoroscopy-guided MIS spinal fusions.Study Design:This is a retrospective medical chart review of 2 cohorts of consecutive patients operated by the same surgeon.Methods:Medical records of adults suffering from degenerative spine disease treated by percutaneous spinal fusion surgeries with robotic-guidancevs. fluoroscopy-guidance were reviewed. Endpoints included pedicle screw placement accuracy (on post-operative CTs) and surgical complications and revisions.Results:Ninety-nine patients were reviewed in each arm which were similar in demographics and surgical indications. The robotic arm had 5.8 screws per case on average and 6.0 in the control arm (p=0.65). No significant differences were found in postoperative complication rates revision surgeries length of stay duration of surgery screw implantation times blood loss or results of Oswestry Disability Index questionnaires.Post-operative CTs were available for 52 patients (293 screws) in the robotic arm and 70 (421 screws) in the freehand controls. In the robotic arm 100% of screws were found accurately placed within the “safe zone”vs. 410 screws (97.4%) in the control arm (p=0.005). Of 11 breaching screws in the control arm one breached by 6mm but the patient did not suffer from any sequelae (12-month follow-up). The average follow up period was 9.2±4 months in the robotic-guided arm and 10.5±3 in the control arm. There were no significant differences in complications or revisions.Conclusion:A modest yet statistically significant increase in pedicle screw placement accuracy was observed with robotic-guidance compared to freehand. Larger prospective studies are needed to demonstrate differences in clinical outcomes.
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Bested, Stephen R., Gerome A. Manson, and Luc Tremblay. "Combining Unassisted and Robot-Guided Practice Benefits Motor Learning for a Golf Putting Task." Journal of Motor Learning and Development 7, no. 3 (December 1, 2019): 408–25. http://dx.doi.org/10.1123/jmld.2018-0040.

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Robotic guidance has been employed with limited effectiveness in neurologically intact and patient populations. For example, our lab has effectively used robotic guidance to acutely improve movement smoothness of a discrete trajectory without influencing movement endpoint distributions. The purpose of the current study was to investigate the efficacy of combining robotic guidance and unassisted trials in the learning of a golf putting task. Participants completed a pre-test, an acquisition phase, and an immediate and delayed (24-hour) post-test. During the pre-test, kinematic data from the putter was converted into highly accurate, consistent, and smooth trajectories delivered by a robot arm. During acquisition, three groups performed putts towards three different targets with robotic guidance on either 0%, 50%, or 100% of acquisition trials. Only the 50% guidance group statistically reduced both the ball endpoint distance and variability between the pre-test and the immediate or 24-hr post-test. The results of the 50% guidance group yielded seminal evidence that combining both unassisted and robotic guidance trials (i.e., mixed practice) could facilitate at least short-term motor learning for a golf putting task. Such work is relevant to incorporating robotic guidance in sport skills and other practical areas (e.g., rehabilitation).
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Bederman, S. Samuel, Gregory Lopez, Tao Ji, and Bang H. Hoang. "Robotic Guidance for En Bloc Sacrectomy." Spine 39, no. 23 (November 2014): E1398—E1401. http://dx.doi.org/10.1097/brs.0000000000000575.

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Dissertations / Theses on the topic "Robotic guidance"

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Gurunathan, Mohan 1975. "Guidance, navigation and control of a robotic fish." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50052.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
Includes bibliographical references (p. 70).
by Mohan Grurnathan.
S.B.and M.Eng.
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Potamianos, Paul. "Development of a robotic guidance system for percutaneous surgery." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297264.

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Liu, Taoming. "A MAGNETICALLY-ACTUATED ROBOTIC CATHETER FOR ATRIAL FIBRILLATION ABLATION UNDER REAL-TIME MAGNETIC RESONANCE IMAGING GUIDANCE." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1484654444253783.

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Borg, Jonathan M. "An industrial robotic system for moving object interception using ideal proportional navigation guidance." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0021/MQ54104.pdf.

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Karahan, Murat. "Prioritized Exploration Strategy Based On Invasion Percolation Guidance." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611450/index.pdf.

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The major aim in search and rescue using mobile robots is to reach trapped survivors and to support rescue operations through the disaster environments. Our motivation is based on the fact that a search and rescue (SAR) robot can navigate within and penetrate a disaster area only if the area in question possesses connected voids Traversability or penetrability of a disaster area is a primary factor that guides the navigation of a search and rescue (SAR) robot, since it is highly desirable that the robot, without hitting a dead end or getting stuck, keeps its mobility for its primary task of reconnaissance and mapping when searching the highly unstructured environment We propose two novel guided prioritized exploration system: 1) percolation guided methodology where a percolator estimates the existence of connected voids in the upcoming yet unexplored region ahead of the robot so as to increase the efficiency of reconnaissance operation by the superior ability of the percolation guidance in speedy coverage of the area
2) the hybrid exploration methodology that makes the percolation guided exploration collaborate with entropy based SLAM under a switching control dependent on either priority given to position accuracy or to map accuracy This second methodology has proven to combine the superiority of both methods so that the active SLAM becomes speedy, with high coverage rate of the area as well as accurate in localization.
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Purnell, Graham. "Implementation of a robotic system for deboning of a beef forequarter for process meat." Thesis, University of Bristol, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240579.

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Roldán, Mckinley Javier Agustín. "Three-dimensional rigid body guidance using gear connections in a robotic manipulator with parallel consecutive axes." [Gainesville, Fla.] : University of Florida, 2007. http://purl.fcla.edu/fcla/etd/UFE0021383.

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Nakhaeinia, Danial. "Hybrid-Adaptive Switched Control for Robotic Manipulator Interacting with Arbitrary Surface Shapes Under Multi-Sensory Guidance." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37127.

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Industrial robots rapidly gained popularity as they can perform tasks quickly, repeatedly and accurately in static environments. However, in modern manufacturing, robots should also be able to safely interact with arbitrary objects and dynamically adapt their behavior to various situations. The large masses and rigid constructions of industrial robots prevent them from easily being re-tasked. In this context, this work proposes an immediate solution to make rigid manipulators compliant and able to efficiently handle object interactions, with only an add-on module (a custom designed instrumented compliant wrist) and an original control framework which can easily be ported to different manipulators. The proposed system utilizes both offline and online trajectory planning to achieve fully automated object interaction and surface following with or without contact where no prior knowledge of the objects is available. To minimize the complexity of the task, the problem is formulated into four interaction motion modes: free, proximity, contact and a blend of those. The free motion mode guides the robot towards the object of interest using information provided by a RGB-D sensor. The RGB-D sensor is used to collect raw 3D information on the environment and construct an approximate 3D model of an object of interest in the scene. In order to completely explore the object, a novel coverage path planning technique is proposed to generate a primary (offline) trajectory. However, RGB-D sensors provide only limited accuracy on the depth measurements and create blind spot when it reaches close to surfaces. Therefore, the offline trajectory is then further refined by applying the proximity motion mode and contact motion mode or a blend of them (blend motion mode) that allow the robot to dynamically interact with arbitrary objects and adapt to the surfaces it approaches or touches using live proximity and contact feedback from the compliant wrist. To achieve seamless and efficient integration of the sensory information and smoothly switch between different interaction modes, an original hybrid switching scheme is proposed that applies a supervisory (decision making) module and a mixture of hard and blend switches to support data fusion from multiple sensing sources by combining pairs of the main motion modes. Experimental results using a CRS-F3 manipulator demonstrate the feasibility and performance of the proposed method.
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Sheehan, Mark Christopher. "3D laser methods for calibrating and localising robotic vehicles." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:021cd760-62a7-470a-b276-d47ba305dc04.

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This thesis is about the construction and automatic target-less calibration of a 3D laser sensor; this is then used to localise an autonomous vehicle without using other sensors. Two novel contributions to our knowledge of robotics are presented here. The first is an automatic calibration routine, which is capable of learning its calibration parameters using only data from a 3D laser scanner. Targets with known dimensions are not required, as has previously been the case. The second main contribution is a localisation algorithm, which uses the high quality data from the calibrated 3D laser scanner with trajectory information from an additional source to build maps of the environment. The vehicle subsequently localises itself within these maps, using the 3D laser sensor alone. Inaccurate laser data manifests itself as blurring when it is plotted in 3D space. The automatic calibration routine recognises that the environment has a true underlying structure to it, and expresses the amount of disorder in the measured laser points using a cost function based on the entropy of the 3D laser data. By optimising this quantity, we obtain the true calibration parameters for the system. We have quantified the accuracy of this algorithm by simulating a static environment from which we draw laser measurements with known calibration parameters. It was found that our calibration system converges to the true calibration values of the sensor. We also address the problem of robotic localisation, as a continuous problem, evaluating precisely the continuous trajectory that the robot has taken as well as the location of the robotic platform. Maps are constructed using the high accuracy data stream from the 3D laser, combining it with an odometry stream, to build high quality laser point cloud maps. The algorithm localises the robotic platform within these maps using a single 3D laser sensor. We vary our estimate of the vehicle's trajectory, treating the scans from the 3D laser and the location of the vehicle as continuous data streams, in a way that maximally aligns the 3D laser data and the map; this is achieved by optimising a cost function based on the Kernelised Rényi Distance. This procedure is typically computationally taxing; however, the computational complexity and computation time of the overall system have been reduced considerably using an efficient algorithm known as the Improved Fast Gauss Transform (IFGT), making the system viable even for large amounts of laser data. An additional speedup was achieved by calculating the Jacobian of the cost function, rearranging it to a form calculable using IFGT approximations. These efficiencies reduce the cost of evaluating the system to near real time. We evaluate the accuracy of our localisation system by comparing it to a DGPS stream as the best available source of ground truth. We show that our system performs more consistently than DGPS. This was especially prominent in regions where the line of sight to GPS satellites was obscured by trees. It was found that the accuracy of our system was comparable to that of the DGPS system.
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Toschi, Marco. "Towards Monocular Depth Estimation for Robot Guidance." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Human visual perception is a powerful tool to let us interact with the world, interpreting depth using both physiological and psychological cues. In the early days, machine vision was primarily inspired by physiological cues, guiding robots with bulky sensors based on focal length adjustments, pattern matching, and binocular disparity. In reality, however, we always get a certain degree of depth sensation from the monocular image reproduced on the retina, which is judged by our brain upon empirical grounds. With the advent of deep learning techniques, estimating depth from a monocular image has became a major research topic. Currently, it is still far from industrial use, as the estimated depth is valid only up to a scale factor, leaving us with relative depth information. We propose an algorithm to estimate the depth of a scene at the actual global scale, leveraging geometric constraints and state-of-the-art techniques in optical flow and depth estimation. We first compute the three-dimensional information of multiple similar scenes, triangulating multi-view images for which dense correspondences have been estimated by an Optical Flow Estimation network. Then we train a Monocular Depth Estimation network on the precomputed multiple scenes to learn their similarities, like objects sizes, and ignore their differences, like objects arrangements. Experimental results suggest that our method is able to learn to estimate metric depth of a novel similar scene, opening the possibility to perform Robot Guidance using an affordable, light and compact smartphone camera as depth sensor.
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Books on the topic "Robotic guidance"

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Building robots: Robotic engineers. New York: PowerKids Press, 2016.

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Agah, Farhad. Rendezvous guidance for robotic interception of moving objects. Ottawa: National Library of Canada, 2003.

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Howard, Ayanna. On the job with a robotic engineer. Minneapolis: Lake Street Publishers, 2003.

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Borg, Jonathan M. An industrial robotic system for moving object interception using ideal proportional navigation guidance. Ottawa: National Library of Canada, 2000.

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Careers in robotics. New York: Rosen Pub., 2007.

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Thro, Ellen. Robotics careers. New York: F. Watts, 1987.

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Bone, Jan. Opportunities in robotics careers. Lincolnwood, Ill: VGM Career Horizons, 1993.

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Bone, Jan. Opportunities in robotics careers. Lincolnwood, Ill., U.S.A: VGM Career Horizons, 1987.

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Suzee, Vlk, ed. The robotics careers handbook. New York: Arco Pub., 1985.

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Robotics careers: Preparing for the future. New York: Rosen Central, 2011.

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Book chapters on the topic "Robotic guidance"

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Purnell, G., and K. Khodabandehloo. "Vision for Robot Guidance in Automated Butchery." In Robotic Systems, 619–26. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2526-0_71.

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Frau, Juan, Albert Larré, Eduard Montseny, and Gabriel Oliver. "A Robust Tracking System for Mobile Robot Guidance." In Robotic Systems, 321–32. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2526-0_37.

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Martínez, Antonio B., and Albert Larré. "Fast Mobile Robot Guidance." In Traditional and Non-Traditional Robotic Sensors, 423–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75984-0_26.

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Barzilay, Yair, Eyal Itshayek, Josh E. Schroeder, Meir Liebergall, and Leon Kaplan. "Image and Robotic Guidance in Spine Surgery." In Minimally Invasive Surgery of the Lumbar Spine, 281–310. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5280-4_14.

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Ribeiro, Fernando, and António Mendes Lopes. "Haptic Guidance in a Collaborative Robotic System." In Communications in Computer and Information Science, 101–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39223-8_10.

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Herrell, S. Duke, Robert L. Galloway, and Michael I. Miga. "Image Guidance in Robotic-Assisted Renal Surgery." In Advances in Image-Guided Urologic Surgery, 221–41. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1450-0_18.

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Cowan, Noah J., Ken Goldberg, Gregory S. Chirikjian, Gabor Fichtinger, Ron Alterovitz, Kyle B. Reed, Vinutha Kallem, Wooram Park, Sarthak Misra, and Allison M. Okamura. "Robotic Needle Steering: Design, Modeling, Planning, and Image Guidance." In Surgical Robotics, 557–82. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1126-1_23.

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Tessitore, Enrico, Granit Molliqaj, Claudio Schonauer, and Bawarjan Schatlo. "The Robotic Arm Guidance Systems: Principles and Indications." In Modern Thoraco-Lumbar Implants for Spinal Fusion, 23–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60143-4_3.

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Vakharia, Vejay, and Hani J. Marcus. "The Robotic Arm Guidance System: Applications and Limits." In Modern Thoraco-Lumbar Implants for Spinal Fusion, 37–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60143-4_4.

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Strydom, Reuben, Saul Thurrowgood, Aymeric Denuelle, and Mandyam V. Srinivasan. "UAV Guidance: A Stereo-Based Technique for Interception of Stationary or Moving Targets." In Towards Autonomous Robotic Systems, 258–69. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22416-9_30.

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Conference papers on the topic "Robotic guidance"

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Martinson, E. "Detecting occluded people for robotic guidance." In 2014 RO-MAN: The 23rd IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 2014. http://dx.doi.org/10.1109/roman.2014.6926342.

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Schulze, Karl R., and Chris LaFlash. "Optical Guidance for a Robotic Submarine." In International Symposium on Optical Science and Technology, edited by Andrew G. Tescher. SPIE, 2002. http://dx.doi.org/10.1117/12.462629.

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FRIEDLAND, BERNARD, and HONG DING. "On navigation of a robotic land vehicle." In Guidance, Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-3822.

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Cai, Meng, Wang Tianmiao, Chou Wusheng, and Zhang Yuru. "A Neurosurgical Robotic System under Image-Guidance." In 2006 IEEE International Conference on Industrial Informatics. IEEE, 2006. http://dx.doi.org/10.1109/indin.2006.275818.

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Gketsis, Zacharias E., Dimitrios Tzagkas, Petros V. Hatzilias, and Michalis E. Zervakis. "Laparoscopic Image Analysis for Robotic Arm Guidance." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260108.

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Hyun, Baro, Justin Jackson, Andrew Klesh, Anouck Girard, and Pierre Kabamba. "Robotic Exploration with Non-Isotropic Sensors." In AIAA Guidance, Navigation, and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-6267.

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Huang, Dingliang, Bin Hu, Yinna Chen, Yu Chen, Liangchen Sui, Zhaoyang Wang, Yijun Jiang, et al. "Autonomous Robotic Subcutaneous Injection Under Near-Infrared Image Guidance." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-69087.

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Abstract Subcutaneous injections are administered into the region beneath the skin, while avoiding puncturing the blood vessels, which gives many types of medications for various medical conditions. In this paper, a portable robotic system performing autonomous cannulation of subcutaneous injections is proposed, and it achieves to automatically locate the proper injection site by analyzing near-infrared (NIR) image sequences. The robot mainly consists of two functional modules-image processing module and motion control module. The former with a full-search algorithm processes the images obtained by the NIR equipment. The puncture point is selected in the area where there are no blood vessels and a method of “range square” is utilized. The motion control module of the robotic system employs the pulse width modulation (PWM) wave to effectively control the motors and manipulates the syringe to puncture at the selected point. The image processing algorithm was evaluated based on the real NIR images of volunteers’ hands and forearms, and the image servo control of the robot was tested on the phantom. The experimental results were analyzed by a medical professional, and the success rate of the image processing algorithm is 96.09%, while the puncture time can satisfy the clinical demand for the efficiency of puncture procedures.
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ROSENTHAL, DAN. "Triangularization of equations of motion for robotic systems." In Guidance, Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-2262.

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SINGH, S. "Nonlinear adaptive control of an elastic robotic arm." In Guidance, Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-1978.

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SCHOLL, MARIJA. "Autonomous star field identification for robotic solar system exploration." In Guidance, Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-3854.

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Reports on the topic "Robotic guidance"

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Griesmeyer, J. M., W. D. Drotning, A. K. Morimoto, and P. C. Bennett. Cask system design guidance for robotic handling. Office of Scientific and Technical Information (OSTI), October 1990. http://dx.doi.org/10.2172/6466486.

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Dohner, J. L. A guidance and control algorithm for scent tracking micro-robotic vehicle swarms. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/573345.

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Piper, Benjamin, Yasmin Sitabkhan, Jessica Mejia, and Kellie Betts. Effectiveness of Teachers’ Guides in the Global South: Scripting, Learning Outcomes, and Classroom Utilization. RTI Press, May 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0053.1805.

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This report presents the results of RTI International Education’s study on teachers' guides across 13 countries and 19 projects. Using quantitative and qualitative methods, we examine how teachers’ guides across the projects differ and find substantial variation in the design and structure of the documents. We develop a scripting index so that the scripting levels of the guides can be compared across projects. The impact results of the programs that use teachers’ guides show significant impacts on learning outcomes, associated with approximately an additional half year of learning, showing that structured teachers’ guides contribute to improved learning outcomes. During observations, we find that teachers make a variety of changes in their classroom instruction from how the guides are written, showing that the utilization of structured teachers’ guides do not create robotic teachers unable to use their own professional skills to teach children. Unfortunately, many changes that teachers make reduce the amount of group work and interactivity that was described in the guides, suggesting that programs should encourage teachers to more heavily utilize the instructional routines designed in the guide. The report includes a set of research-based guidelines that material developers can use to develop teachers’ guides that will support effective instructional practices and help improve learning outcomes. The key takeaway from the report is that structured teachers' guides improve learning outcomes, but that overly scripted teachers' guides are somewhat less effective than simplified teachers' guides that give specific guidance to the teacher but are not written word for word for each lesson in the guide.
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