Language Conditioning Improves Accuracy of Aircraft Goal Prediction in Non-Towered Airspace
语言引导提升非塔台空域飞机目标预测的准确性
机构 * Georgia Institute of Technology(佐治亚理工学院) ; School of Aerospace Engineering(航空航天工程学院) ; School of Electrical and Computer Engineering(电气与计算机工程学院) ; School of Mechanical Engineering(机械工程学院)
专题命中 机器人数据与评测 :robotic(abstract);分类 cs.RO;robotics(comments)
AI总结 本文提出利用语言信息提升非塔台空域飞机目标预测准确性的多模态框架,通过整合自然语言理解和空间推理,有效提高自主决策能力。
Comments The last two authors advised equally. Accepted to the 2026 IEEE International Conference on Robotics and Automation. 8 pages, 6 figures