Record of Robotics at CMU Part II
- Remote Access Enabled - Webinar
- Virtual Presentation
Join the School of Computer Science and the University Libraries for Part II of the Record of Robotics as we explore the robust CMU history of pioneering roboticist, Manuela Veloso, Managing Director, Head of AI Research at J.P. Morgan and the Herbert A. Simon University Professor of Computer Science.
Joining the conversation are Professor Veloso's former students: Sonia Chernova, Joydeep Biswas, and Peter Stone.
This exciting and exclusive live interview will feature a conversation facilitated by Katherine Barbera, Archivist & Oral Historian, University LibrariesArchives.
About The Speakers
→ Manuela Veloso is the Head of J.P. Morgan AI Research, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction. J.P. Morgan AI Research partners with applied data analytics teams across the firm as well as with leading academic institutions globally. She is currently on leave from Carnegie Mellon University as the Herbert A. Simon University Professor in the School of Computer Science, and the past Head of the Machine Learning Department.
With her students, she had led research in AI, with a focus on robotics and machine learning, having concretely researched and developed a variety of autonomous robots, including teams of soccer robots, and mobile service robots. Her robot soccer teams have been RoboCup world champions several times, and the CoBot mobile robots have autonomously navigated for more than 1,000km in university buildings. Professor Veloso is the Past President of AAAI, (the Association for the Advancement of Artificial Intelligence), and the co-founder, Trustee, and Past President of RoboCup. She has been recognized with multiple honors, including being a Fellow of the ACM, IEEE, AAAS, and AAAI. She is the recipient of several best paper awards, the Einstein Chair of the Chinese Academy of Science, the ACM/SIGART Autonomous Agents Research Award, an NSF Career Award, and the Allen Newell Medal for Excellence in Research.
→ Joydeep Biswas is an assistant professor in the Computer Science Department at University of Texas at Austin. His research is on perception and planning for long-term autonomy, with the ultimate goal of having self-sufficient autonomous mobile robots working in human environments, performing tasks accurately and robustly for years at a time. His work enabled the CoBots at CMU to autonomously traverse over 1,000 kilometers indoors spanning multiple environments. Recently, his work on introspective perception has enabled robots to autonomously identify causes of perception failures, and to learn to overcome them while deployed in the real world. Prior, Joydeep was an assistant professor in the College of Information and Computer Sciences at University of Massachusetts Amherst. He earned his PhD in Robotics from Carnegie Mellon University in 2014, and his B.Tech in Engineering Physics from the Indian Institute of Technology, Bombay in 2008.
→ Sonia Chernova is an Associate Professor at Georgia Tech, where she directs the Robot Autonomy and Interactive Learning research lab. Her research lies at the intersection of robotics and machine learning, with a focus on robot learning, semantic reasoning, and human-robot interaction. A key motivating factor throughout all of her work is the development of robots that effectively operate in human environments.
→ Peter Stone is the founder and director of the Learning Agents Research Group (LARG) within the Artificial Intelligence Laboratory in the Department of Computer Science at The University of Texas at Austin, as well as associate department chair and chair of Texas Robotics. He was a co-founder of Cogitai, Inc. and is now Executive Director of Sony AI America. His main research interest in AI is understanding how we can best create complete intelligent agents. He considers adaptation, interaction, and embodiment to be essential capabilities of such agents. Thus, his research focuses mainly on machine learning, multiagent systems, and robotics. His application domains have included robot soccer, autonomous bidding agents, autonomous vehicles, and human-interactive agents.