Title:
From Coexistence to Collaboration: Towards Reliable Collaborative Robots
From Coexistence to Collaboration: Towards Reliable Collaborative Robots
dc.contributor.advisor | 53:45 minutes | |
dc.contributor.author | Ravichandar, Harish | |
dc.contributor.corporatename | Georgia Institute of Technology. Institute for Robotics and Intelligent Machines | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. School of Interactive Computing | en_US |
dc.date.accessioned | 2020-10-20T23:19:15Z | |
dc.date.available | 2020-10-20T23:19:15Z | |
dc.date.issued | 2020-10-14 | |
dc.description | Presented online October 14, 2020, 12:15 p.m.-1:15 p.m. | en_US |
dc.description | IRIM Seminar Series: Session 4 | en_US |
dc.description | Dr. Harish Ravichandar is currently a Research Scientist in the School of Interactive Computing and a faculty member of the Institute of Intelligent Robots and Machines (IRIM) at Georgia Institute of Technology, where he joined as a Postdoctoral Fellow in 2018. He received his M.S. degree in Electrical and Computer Engineering from the University of Florida in 2014 and his Ph.D. in Electrical and Computer Engineering from the University of Connecticut in 2018. His current research interests span the areas of robot learning, human-robot interaction, and multi-agent systems. His work has been recognized by the ASME DSCC Best Student Robotics Paper Award (2015), IEEE CSS Video Contest Award (2015), UTC Institute for Advanced System Engineering Graduate Fellowship (2016-2018), and Georgia Tech's College of Computing Outstanding Post-Doctoral Research Award (2019) and Outstanding Research Scientist Award (2020). | en_US |
dc.description | Runtime: 53:45 minutes | en_US |
dc.description.abstract | The field of robotics has made incredible progress over the past several decades. Indeed, we have built impressive robots capable of performing complex and intricate tasks in a variety of domains. Most modern robots, however, passively coexist with humans while performing pre-specified tasks in predictable environments. As robots become an increasingly integral part of our everyday lives -- from factory floors to our living rooms -- it is imperative that we build robots that can reliably operate and actively collaborate in unstructured environments. This talk will present three key aspects of collaborative robotics that will help us make progress toward this goal. Specifically, we will discuss algorithmic techniques that enable robots to i) consistently and reliably perform manipulation tasks, ii) understand and predict the behavior of other agents involved, and iii) effectively collaborate with other robots and humans. | en_US |
dc.format.extent | 53:45 minutes | |
dc.identifier.uri | http://hdl.handle.net/1853/63797 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.relation.ispartofseries | IRIM Seminar Series | |
dc.subject | Human-robot interaction | en_US |
dc.subject | Multi-robot systems | en_US |
dc.subject | Robot learning | en_US |
dc.title | From Coexistence to Collaboration: Towards Reliable Collaborative Robots | en_US |
dc.type | Moving Image | |
dc.type.genre | Lecture | |
dspace.entity.type | Publication | |
local.contributor.author | Ravichandar, Harish | |
local.contributor.corporatename | Institute for Robotics and Intelligent Machines (IRIM) | |
local.relation.ispartofseries | IRIM Seminar Series | |
relation.isAuthorOfPublication | 07277d29-f32f-4435-b617-f76d10fb8f6a | |
relation.isOrgUnitOfPublication | 66259949-abfd-45c2-9dcc-5a6f2c013bcf | |
relation.isSeriesOfPublication | 9bcc24f0-cb07-4df8-9acb-94b7b80c1e46 |
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