Automated cars are hurtling towards us at breakneck speed, with all-electric Teslas already running limited autopilot systems on roads worldwide and Google trialling its own autonomous pod cars. However, before we can reply to emails while being driven to work, we have to have a foolproof way to determine when drivers can safely take control and when it should be left to the car.
Imagine a future where self-driving cars, trains and buses are all seamlessly connected through an app, where traffic jams are a thing of the past and redundant car parks have been turned into green spaces. This could be the world we live in by 2030, says Cathis Elmsäter-Svärd, Chairwoman of Drive Sweden and a member of the Global Future Council on Mobility, in this interview.
In this interview, Dr. Yueh-Hsuan Weng invites Prof. Ronald C. Arkin, Executive Committee Member of IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, to share his insights on roboethics, with a focus on its technical aspects, military and caregiver applications..
The UNEXMIN (Underwater Explorer for Flooded Mines) project is almost one year old. After a busy first year of work, UNEXMIN is on-schedule to deliver the first mechanical UX-1 prototype. Jussi Aaltonen, from TUT (Tampere University of Technology), leaders of WP1 – Robotic Functions Validations, talks about what has been done over the past year concerning his team’s work in UNEXMIN’s development scene.
In the wake of the BSI report 8611 on robots and robotic devices, Yueh-Hsuan Weng interviews Prof. Joanna Bryson of the University of Bath about her take on roboethics and regulating the future of human-robot relationships.
Yueh-Hsuan Weng interviews Prof. Hiroko Kamide about her theory of “One Being for Two Origins”, derived from the teachings of the Buddha, and how her philosophy might impact the emerging field of roboethics.
How can robotics help to enhance the development of the modern arts? Japan’s famous playwright, stage director Oriza Hirata and leading roboticist Hiroshi Ishiguro launched the “Robot Theater Project” at Osaka University to explore the boundary between human-robot interactions through robot theater. Their work includes renditions of Anton Chekhov’s “Three Sisters”, Franz Kafka’s “The Metamorphosis”, and their own play “I, Worker”. Their work has spread internationally to Paris, New York, Toronto and Taipei.
For this interview, we would like to invite their collaboration partner Yi-Wei Keng, director of Taipei Arts Festival, to share his insights on the intersection of robotics and the arts.
In this episode, Audrow Nash interviews Fredrik Gustafsson, Professor in Sensor Informatics at Department of Electrical Engineering in Linköping University, about an initiative to reduce poaching in a rhino sanctuary in Ngulia, Kenya. Gustafsson discusses how he first became involved in this project, how he has worked with the rangers to develop solutions, and the future of this work.
In this episode, Audrow Nash interviews Emo Todorov, Director of Movement Control Laboratory at the University of Washington, about a physics-based optimization method for controlling robots. Todorov describes how his physics-based method can be used to solve problems and discusses results in simulation and on hardware.
Next year’s Cybathlon will host people with physical disabilities equipped with advanced assistive devices including robotic technologies. The goal of this unique competition is to remove barriers between people with physical disabilities, researchers and the general public and to promote the development of assistive technologies that are useful for daily life. We talked to Robert Riener, the Cybathlon’s main organizer and Professor of Sensory-Motor Systems at ETH.
In this episode, Audrow Nash interviews Christina Brester, from the Siberian State Aerospace University, about her research on a method to identify emotional state from speech. This method performs speech analysis with a self-adaptive, multi-objective, genetic algorithm for feature selection and uses a neural network to classify those features. In this interview, we’ll discuss exactly what that means, as well as the implications and future of this research.