Waseda University’s Frontier of Embodiment Informatics: ICT and Robotics Unit (Top Global University Project) is pleased to announce the webinar “Personal AI-based robots as lifetime human companions” with Dr. Shigeki Sugano (Waseda University, Japan), Dr. Tetsuya Ogata (Waseda University, Japan), and Dr. Sethu Vijayakumar (The Alan Turing Institute, UK) on Science.
- Webinar viewing: Available from Thursday, March 10, 2022, 02:00 JST. Please note the webinar will be available to view on Science after initial release.
- Webinar length: ~60 minutes
- Registration: Click here to view webinar details and registration link (prior to release).
- Speakers and topics:
Shigeki Sugano, D.Eng. (Waseda University)
Smart Robot that is Close to One Person for a Lifetime AIREC
Tetsuya Ogata, D.Eng. (Waseda University)
Deep Predictive Learning for Real-world Robot Systems
Sethu Vijayakumar, Ph.D. (The Alan Turing Institute, UK)
Shared Autonomy-The Future of Interactive Robotics
Moderator: Sean Sanders, Ph.D.Science/AAAS (Washington, DC)
During the webinar, the speakers will also touch on the following topics:
- The shift from isolated decision making to more shared control, giving greater autonomy to the robot
- The optimal trade-off between autonomy and automation that doesn’t sacrifice safety or the user’s sense of security
- The concept of novel deep predictive learning AI, which will allow robots to better move through and interact with unfamiliar environments
- How recent advances can produce cognitively flexible robots that move closer to becoming true human companions.
This webinar is brought to you by the Science/AAAS Custom Publishing Office.
Robots and other automated devices are increasingly becoming a part of our everyday lives and include every conceivable application, from intelligent online assistants to self-driving cars. But what is the next frontier in robot development? During this webinar, we invite three experts in robotics and artificial intelligence (AI) to share the latest technology developments that give us some insight into what a future world might look like. They’ll examine what advances are needed—particularly in software—to allow the next generation of robots to be more independent, flexible, interactive, and helpful.
