Conferences, Lectures, & Seminars
Events for June
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AI Seminar: Scalable Task and Motion Planning for Multi Robot Systems in Obstacle Rich Environments
Fri, Jun 15, 2018 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Wolfgang Hönig, USC
Talk Title: Scalable Task and Motion Planning for Multi Robot Systems in Obstacle Rich Environments
Series: Artificial Intelligence Seminar
Abstract: Motion planning problems have been studied in both the artificial intelligence AI and robotics communities. AI solvers can compute plans for hundreds of simple agents in minutes with suboptimality guarantees, while robotics solutions typically include richer kinodynamic models during planning, but are very slow when many robots and obstacles are taken into account.
We combine the advantages of the two methods by using a two-step approach. First, we use and extend AI solvers for a simplified coordination problem. The output is a discrete plan that cannot be executed on real robots. Second, we apply a computationally efficient post-processing step that creates a continuous plan, taking kinodynamic constraints into account. We show examples for ground robots in a warehouse domain and quadrotors that are tasked with formation change.
Biography: Wolfgang Honig is a Ph.D. student in the ACT Lab at the University of Southern California. He holds a Diploma in Computer Science from the Technical University Dresden, Germany and an M.S. in Computer Science Intelligent Robotics from USC. His research focuses on enabling large teams of physical robots to collaboratively solve real-world tasks by combining methods from artificial intelligence and robotics
Host: Satish Kumar Thittamaranahalli
Location: Information Science Institute (ISI) - 6th Floor Conf Rm-CR# 689
Audiences: Everyone Is Invited
Contact: Peter Zamar
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
NL Seminar-Recent Advances and Challenges on Human-Computer Conversational Systems
Fri, Jun 22, 2018 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Rui Yan, Peking Univ
Talk Title: Recent Advances and Challenges on Human-Computer Conversational Systems
Series: Natural Language Seminar
Abstract: Automatic human-computer conversational systems have attracted great attention from both industry and academia. Intelligent products such as XiaoIce by Microsoft have been released, while tons of Artificial Intelligence companies have been established. We see that the technology behind the conversational systems is accumulating and now open to the public gradually. With the investigation of researchers, conversational systems are more than scientific fictions: they become real. I would review the recent development of human-computer conversational systems, especially the significant changes brought by deep learning techniques. In the meanwhile, I would share some work conducted by our group.
Biography: Dr. Rui Yan is an assistant professor at Peking University, an adjunct professor in Central China Normal University and Central University of Finance and Economics, and he was a Senior Researcher at Baidu Inc. He has investigated several open-domain conversational systems and dialog systems in vertical domains. Till now he has published more than 50 highly competitive peer reviewed papers. He serves as a senior program committee member of several top-tier venues such as KDD, SIGIR, ACL, WWW, IJCAI, AAAI, CIKM, EMNLP.
Host: Nanyun Peng
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
