Join for a special seminar presentation with Austin Roorda, Professor, UC Berkeley, Herbert Wertheim School of Optometry & Vision.
Robotic teammates have the unique advantage and challenge that we have the ability to design them, and while we may know what we desire in a teammate, actually manifesting those characteristics is difficult. In order to achieve the goal of creating our desired teammate it requires a greater understanding of the strengths and weaknesses of the design elements as well as ourselves. In this presentation Paul Stegall will present prior work on the use of exoskeleton devices for rehabilitation and pathology identification, current work on human abi
In this talk, Dr. Mojtaba Sharifi will go over the research projects he has done in the field of Rehabilitation and Assistive Robotics, Human-Robot Interaction (HRI), and Soft Robotics in the past twelve years. His presentation is organized in three sections, which cover his research achievements from his MSc to Postdoc. The first one is devoted to his research area during the MSc and Ph.D. programs on the “Control of HRI: Medical Robotic and Tele-Robotic Systems”.
Hear from Lee Fairclough, President of St. Mary's Hospital
Autonomously moving microrobots that can be controlled remotely have enormous potential for innovative biomedical applications such as non-invasive surgery, drug delivery or cell manipulation. This talk will present different approaches to the development of such wireless microrobots, ranging from biohybrid to bioinspired systems. Biohybrid and biomimetic approaches are very attractive because they exploit the naturally optimized designs and propulsion sources of biological swimmers.
Surgical robots and exoskeletons save lives and enable independence. However, their access, acceptance and use are limited by usability barriers and cost-benefit comparisons with conventional practice. My talk will demonstrate soft robotics techniques and transdisciplinary design strategies that address these challenges and stimulate the discovery of new application areas in engineering and medicine.
Modern surgical procedures require delicate tissue interactions and thus benefit greatly from the precise manipulations offered by medical robots. Similarly, live 3D imaging modalities (e.g., optical coherence tomography [OCT], ultrasound) offer rich clinical data streams useful for guiding surgical instruments.
Small scale robots have the potential to offer many unique applications for minimally invasive surgery, sensing and drug delivery in healthcare as well as more generally for microfactories and as scientific tools. They are precise end-effectors that can manipulate objects with a high degree of accuracy. Many surgical and on-chip tasks can be performed by manipulating these robots in their dedicated environments.
In her most recent book, Discriminating Data (2021), Wendy Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data's predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition.