This presentation will offer a concise overview of the intelligent algorithm landscape, focusing on major classes of algorithms and providing a basic understanding of machine learning approaches. The speakers will discuss the strengths and weaknesses of different intelligent algorithms, emphasizing their applications in communications and networking. Attendees will gain insights into the diverse uses of intelligent algorithms in these domains. Dinner will consist of: - London Broil - Garden Salad - Roasted Garlic Mashed Potatoes - Seasoned Vegetable Medley - Assorted Dinner Rolls Parking for the event is free and is in the parking lot south of the library. See the below map of the PSU Harrisburg for an overview on where the building and parking is located. There is a fee for the entire dinner+presentation event. There is no fee for only attending the presentation. Speaker(s): Julia Andrusenko, Sumant Pathak Agenda: Dinner: 6:00 - 7:00 PM Presentation: 7:00 - 8:30 PM Room: Room 101, Morrison Gallery, Bldg: Madlyn L Hanes Library (Building D), Penn State Harrisburg, 777 West Harrisburg Pike, Middletown, Pennsylvania, United States, 17507

The vast majority of robots in use today operate in very structured environments, e.g., in factory assembly lines, and possess only those limited motion capabilities required to perform specific tasks. While these robots can outperform humans in terms of speed, strength, and accuracy for these tasks, they are no match for the dexterity of human motion. Part of a human's inherent advantage over industrial robots is due to the large number of degrees of freedom in the human body. Articulated, i.e., jointed, motion systems that possess more degrees of freedom than the minimum required to perform a specified task are referred to as kinematically redundant. In an effort to mimic the dexterity of biological systems, researchers have built a number of kinematically redundant robotic systems, e.g., anthropomorphic arms, multi-fingered hands, dual-arm manipulators, and walking machines. While these systems vary in their appearance and intended applications, they all require motion control strategies that coordinate large numbers of joints to achieve the high degree of dexterity possible with redundant systems. This talk will discuss the issues that arise when designing such strategies, frequently drawing on the use of the singular value decomposition, including the characterization of redundancy, the quantification of dexterity, and the development of efficient and numerically stable motion control algorithms that simultaneously optimize multiple criteria. Speaker(s): Dr. Maciejewski Virtual: https://events.vtools.ieee.org/m/411361