OTTRS Speaker Series: “Human-Autonomy Teaming for Armored Vehicle Operations”
UMD students, faculty, staff, alumni, and friends—join us for the OTTRS (external link, opens in a new tab) Speaker Series. (Registration Required)
Abstract:
ARL’s Human-Autonomy Teaming (HAT) Essential Research Program (ERP) was an early applied research program from 2018-2025 supporting the Army’s modernization priority Next Generation Combat Vehicle (NGCV). The NGCV concept would propose the creation of a mixed formation of manned and robotic combat vehicles capable of operating at reduced Soldier-to-platform ratios. To support this effort, HAT developed materiel and non-material solutions designed to (1) improve Soldiers’ ability to work effectively with artificial intelligence, robots, and autonomous systems so they can fight and win at these reduced levels of manning, (2) give Soldiers the tools they need to adapt the behavior of robotic and autonomous systems in the field, (3) provide tools for assessing human-robot team performance and effectiveness, and (4) help human-robot teams co-evolve over extended time-scales through iterative cycles of mission planning, execution, and after action review. This talk will cover a brief history of military applications of human-robot interaction, the NGCV program’s goals and challenges, research conducted under the HAT ERP and its outcomes, and general recommendations for human-robot interaction research.
Bio:
Dr. Brandon Perelman
Dr. Brandon Perelman is a Research Psychologist with DEVCOM Army Research Laboratory, and served as the Program Manager for ARL’s Human-Autonomy Teaming Essential Research Program from 2021-2025. He is a graduate of Michigan Technological University’s Applied Cognitive Science & Human Factors program, completed his MS in experimental psychology at Saint Joseph’s University, and attended Sarah Lawrence College as an undergraduate. He is a former Air Force Research Labs Daniel Repperger program fellow and a former employee of Applied Research Associates Inc., Cognitive Solutions Division (formerly Klein Associates), where he worked on projects for government customers including IARPA, AFRL, ARI, and the FBI. His research at ARL has focused on human-agent collaborative spatial decision-making and multisensory cybernetics. His primary research interests include computational modeling, human-agent teaming, spatial cognition, and decision-making.
Additional Information:
Please contact infoevents@umd.edu at least one week prior to the event to request disability accommodations. In all situations, a good faith effort (up until the time of the event) will be made to provide accommodations.
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