News/Research

Ken Goldberg at International Symposium on Robot and Human Interactive Communication

01 Sep, 2016

Ken Goldberg at International Symposium on Robot and Human Interactive Communication

BCNM's Ken Goldberg recently attended the 2016 IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), which was held August 26 - 31, 2016 at Columbia University, Teachers College in New York City. He gave an address at the plenary session on August 30, entitled "Multiplicity: What Robots and AI Can Teach Us about Being Human".

Interesting keynote by @ken_goldberg going on @RoMan2016NYC on what robots and AI can teach us about being human. pic.twitter.com/M8LOi9abos

— Maartje de Graaf (@RoboNarratives) August 30, 2016


About RO-MAN

This year, the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) for 2016 was held from August 26 - 31, 2016 at Columbia University, Teachers College in New York City! The conference highlighted productive working partnerships between human and robots by convening the theme of Human-Robot Collaboration that includes robotic use in research and design, and the development of robots that interact collaboratively with humans, as well as support human-human collaboration.

This year is the 25th anniversary of RO-MAN, and the organization committee took this opportunity to acknowledge the progress that has been made in the robots/robotics field, as well as examine how the area of robotics is currently evolving in the areas of robot designs; interfaces and interaction modalities; robot autonomy and teleoperation; robot expressiveness; interaction kinesics; social/emotional learning and skill acquisition by robots; and design best practices when optimizing for human-robot interaction.

In addition, the conference also aimed to explore further new broader definitions of robots/robotics: robotic devices that augment human performance (both physically and mentally); architecture/platforms for operating robots; role of robots in space; ubiquitous robots; crowdsourcing human-robot interaction based on interaction style, virtual robot apps and virtual humans for future robot applications in (education, healthcare service robots, human behavior, cognitive skills, mental models), and how robot collaboration with humans may evolve in the future.