Friday, April 19, 2024
10:20 a.m. (CST)
ETB 1020
Dr. Jason O’Kane
Professor, Department of Computer Science and Engineering, Texas A&M University
Title: “Robot Planning Near the Boundaries of Feasibility”
Abstract
The effectiveness of mobile robots operating in the physical world depends on their ability to sense and move through their environments. Unfortunately, sensors provide only limited (and sometimes incorrect) information and actuators provide constrained (and sometimes unreliable) movement capabilities. These realities motivate a careful study of the information requirements of the problems our robots intend to solve. In this talk, He will present an overview of his group’s ongoing research to enable robots to succeed in spite of strong limitations in sensing, motion, communication, and computation. This work covers a variety of robotic tasks and spans from foundational results to deployments in the field.
Biography
Jason M. O’Kane is Professor of Computer Science and Engineering at Texas A&M University. He holds the Ph.D. and M.S. degrees from the University of Illinois at Urbana-Champaign and the B.S. degree from Taylor University, all in Computer Science. His work has been recognized with a number of awards including the CAREER Award from the National Science Foundation, the Most Valuable Professor Award from the University of South Carolina, the Outstanding Graduate in Computer Science Award from Taylor University, the Distinguished Service Award from the IEEE Robotics and Automation Society, and the Engineering Genesis Award from Texas A&M. His research spans algorithmic robotics, planning under uncertainty, and computational geometry.
For more on Dr. Kane please see his TAMU Profile Website at https://engineering.tamu.edu/cse/profiles/okane-jason.html
Please join on Friday, 4/19/24 at 10:20 a.m. in ETB 1020.