Explore the future of human-robot collaboration in this 35-minute conference talk from Open Data Science. Delve into the increasing presence of robots in everyday life, accelerated by the COVID-19 pandemic, and examine the societal implications of widespread robot deployment. Investigate the practical challenges of integrating robots into public spaces, including the need for new communication methods and social norms. Consider philosophical questions surrounding the differential impact of robotic technologies on various societal groups and the importance of public-private partnerships in ensuring safe autonomous robots. Learn about key technical challenges in human-robot interaction, including decision-making processes, learning latent factors, and task specification. Gain insights into cutting-edge approaches such as constrained variational inference, unsupervised learning, and perturbation learning for improving robot performance and adaptability in complex environments.
What to Expect When You Are Expecting Robots - The Future of Human-Robot Collaboration
Overview
Syllabus
Introduction
Examples of HumanRobot Collaboration
How many robots are in peoples homes
Sidewalk delivery robots
Tom Brady
Three sequential systems
What is a bad decision
Key challenges
Learning latent factors
Example constrained variational inference
Example unsupervised approach
Learning the human model
Learning task specifications
Learning more complex tasks
Learning perturbations
Execution
Handover
Conclusion
Taught by
Open Data Science
