Fast Swept Volume Estimation with Deep Learning. - Hao-Tien Lewis Chiang; Aleksandra Faust; Satomi Sugaya; Lydia Tapia (WAFR, 2018)

Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance. - Arpit Garg; Hao-Tien Lewis Chiang; Satomi Sugaya; Aleksandra Faust; Lydia Tapia (IROS, 2019)

Deep Prediction of Swept Volume Geometries: Robots and Resolutions. - John E. G. Baxter; Mohammad R. Yousefi; Satomi Sugaya; Marco Morales 001; Lydia Tapia (IROS, 2020)

Defensive Escort Teams for Navigation in Crowds via Multi-Agent Deep Reinforcement Learning. - Yazied A. Hasan; Arpit Garg; Satomi Sugaya; Lydia Tapia (IEEE Robotics Autom. Lett., 2020)

Exploring Learning for Intercepting Projectiles with a Robot-Held Stick. - John E. G. Baxter; Torin Adamson; Satomi Sugaya; Lydia Tapia (IROS, 2021)

Multitask and Transfer Learning of Geometric Robot Motion. - Satomi Sugaya; Mohammad R. Yousefi; Andrew R. Ferdinand; Marco Morales 001; Lydia Tapia (IROS, 2021)

Fast deep swept volume estimator. - Hao-Tien Lewis Chiang; John E. G. Baxter; Satomi Sugaya; Mohammad R. Yousefi; Aleksandra Faust; Lydia Tapia (Int. J. Robotics Res., 2021)