Texas Robotics provides world-class education and pursues innovative research emphasizing long-term autonomy and human-robot interaction while leveraging UT Austin’s breadth to support a broad range of industrial applications. Texas Robotics is supported by 6 UT entities. (https://robotics.utexas.edu/) - (https://cns.utexas.edu/) - (http://www.engr.utexas.edu/) - (https://www.ae.utexas.edu/) - (https://www.cs.utexas.edu/) - (http://www.ece.utexas.edu/) - (https://www.me.utexas.edu/) Co-sponsored by: International Society of Automation, Austin Chapter Agenda: IEEE CTS Life Members and Consultants Network May 12,2025 Program Co-Host : International Society of Automation, Austin Chapter UT-Austin Robotic Lab Tour Date and time: May 12,2025 10:15 -11:30 AM Address: 2501 Wichita Street, Austin, TX 78712 (Anna Hiss Gymnasium 2/F) Meeting Point: 2/F lobby at 10:15 AM Campus Map: (https://robotics.utexas.edu/directions) Pay Parking: 105 E 27th St Speedway Garage Carpool Meeting Point at 9:45 AM: Central Market Parking Lot at N. Lamar St. and 40 St. NE corner close to the EV charging stations. Maximum Tour Group: 25 people Room: 2nd Floor Lobby, Bldg: Anna Hiss Gymnasium , 2501 Wichita Street, Austin, Texas, United States, 78721
Agentic AI represents a groundbreaking shift in artificial intelligence, enabling systems to act autonomously, make decisions, and achieve goals with minimal human intervention. This talk explores the concept of Agentic AI, its various types, adoption trends, and the transformative impact it is poised to have on industries and societies. From reshaping workflows to influencing ethical frameworks, we’ll examine how this emerging technology drives innovation and redefines humanity’s relationship with intelligent systems. Note: - You will require a Zoom account (free to obtain) to join the meeting. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account, not necessarily the one you used to register for the event. - By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing. Co-sponsored by: Vishnu S. Pendyala, SJSU Speaker(s): Dr. Narayan Srinivasa, IEEE Fellow , Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/479545