Andrew Howard

Andrew Howard's research delves into the dynamic and evolving field of robotics, with a particular focus on active, coordinated approaches to classical robot estimation challenges such as localization, mapping, and exploration. As a Research Assistant Professor in the Computer Science Department at the University of Southern California, he is at the forefront of developing innovative solutions that enhance the capabilities of robotic systems. His current research projects are diverse and cutting-edge, encompassing areas such as 3D mapping in urban environments, which aims to improve the accuracy and efficiency of robotic navigation in complex cityscapes. Additionally, he is working on concurrent localization, mapping, and exploration, a project that seeks to enable robots to simultaneously map and navigate unknown environments with precision. Andrew is also exploring ego-centric cooperative localization, which involves the use of multiple robots working together to enhance their collective understanding of their surroundings. Another intriguing aspect of his research is the utilization of 802.11b WiFi signal strength for localization, a novel approach that leverages existing wireless infrastructure to improve robot positioning. Beyond his research endeavors, Andrew is dedicated to education and actively contributes to the academic community by teaching CSCI445 Introduction to Robotics. Through this course, he imparts his extensive knowledge and passion for robotics to the next generation of computer scientists and engineers, preparing them to tackle the challenges of the future. With a commitment to advancing the field of robotics, Andrew Howard continues to push the boundaries of what is possible, driving innovation and inspiring both his students and colleagues alike. His work not only contributes to the academic landscape but also has practical implications for the development of more intelligent and autonomous robotic systems.