Nyku: A Social Robot for Children With Autism Spectrum Disorders

The continued growth of Autism Spectrum Disorders (ASD) around the world has spurred a growth in new therapeutic methods to increase the positive outcomes of an ASD diagnosis. It has been agreed that the early detection and intervention of ASD disorders leads to greatly increased positive outcomes for individuals living with the disorders. Among these new therapeutic methods, Robot-Assisted Therapy (RAT) has become a hot area of study. Recent works have shown that high functioning ASD children have an affinity for interacting with robots versus humans. It is proposed that this is due to a less complex set of communication modes present in a robotic system as opposed to the complex non-verbal communications present in human to human interactions. As such, the Computer Vision and Robotics Lab at the University of Denver has embarked on developing a social robot for children with ASD. This thesis presents the design of this social robot; Nyku (Figure 1). It begins with an investigation of what the needs of ASD children are, what existing therapies help with, and what, if any, roles a robot can play in these treatment plans. From the literature examined, it is clear that robots designed specifically for ASD children have a core set of goals, despite the varied nature of the disorder\u27s spectrum. These goals aim to reduce the stress of non-verbal communications that may occur during standard therapies, as well as providing capabilities to reinforce typical areas of weakness in an ASD persons social repertoire, such as posture mimicry and eye contact. A goal of this thesis is to show the methodology behind arriving at these design goals so that future designers may follow and improve upon them. Nyku\u27s hardware and software design requirements draw from this foundation. Using this needs first design methodology allows for informed design such that the final product is actually useful to the ASD population. In this work, the information collected is used to design the mechanical components of Nyku. These elements consist of Nyku\u27s Body, Neck & Head, and Omni-wheel base. As with all robots, the mechanical needs then spawn electronics requirements, which are, in turn, presented. In order to tie these systems together, the control architecture is coded. Notably, this thesis results in a novel kinematic model of a spherical manipulation system present in the Omni-wheel Base. This solution is then presented in detail, along with the testing conducted to ensure the model\u27s accuracy. To complete the thesis, overall progress on Nyku is highlighted alongside suggestions for a continuation of the work. Here, the engineering work is compared against the design goals which it tries to fulfill in an effort to ensure that the work has stayed on track. In continuation, this examination maps out future steps needed to optimize the engineering work on Nyku for reliable performance during therapeutic sessions. Finally, a therapeutic plan is proposed given the hardware capabilities of Nyku and the needs of ASD children against the background of modern therapeutic methods

Urologic robots and future directions.

International audiencePURPOSE OF REVIEW: Robot-assisted laparoscopic surgery in urology has gained immense popularity with the daVinci system, but a lot of research teams are working on new robots. The purpose of this study is to review current urologic robots and present future development directions. RECENT FINDINGS: Future systems are expected to advance in two directions: improvements of remote manipulation robots and developments of image-guided robots. SUMMARY: The final goal of robots is to allow safer and more homogeneous outcomes with less variability of surgeon performance, as well as new tools to perform tasks on the basis of medical transcutaneous imaging, in a less invasive way, at lower costs. It is expected that improvements for a remote system could be augmented in reality, with haptic feedback, size reduction, and development of new tools for natural orifice translumenal endoscopic surgery. The paradigm of image-guided robots is close to clinical availability and the most advanced robots are presented with end-user technical assessments. It is also notable that the potential of robots lies much further ahead than the accomplishments of the daVinci system. The integration of imaging with robotics holds a substantial promise, because this can accomplish tasks otherwise impossible. Image-guided robots have the potential to offer a paradigm shift

Does needle rotation improve lesion targeting

Abstract Background Image-guided robots are manipulators that operate based on medical images. Perhaps the most common class of image-guided robots are robots for needle interventions. Typically, these robots actively position and/or orient a needle guide, but needle insertion is still done by the physician. While this arrangement may have safety advantages and keep the physician in control of needle insertion, actuated needle drivers can incorporate other useful features