Cooperative humanoid stretcher manipulation and locomotion. - Stephen G. McGill; Daniel D. Lee (Humanoids, 2011)

RoboCup 2011 Humanoid League Winners. - Daniel D. Lee; Seung-Joon Yi; Stephen G. McGill; Yida Zhang; Sven Behnke; Marcell Missura; Hannes Schulz; Dennis W. Hong; Jeakweon Han; Michael A. Hopkins (RoboCup, 2011)

Active stabilization of a humanoid robot for real-time imitation of a human operator. - Seung-Joon Yi; Stephen G. McGill; Byoung-Tak Zhang; Dennis W. Hong; Daniel D. Lee (Humanoids, 2012)

RoboCup 2013 Humanoid Kidsize League Winner. - Daniel D. Lee; Seung-Joon Yi; Stephen G. McGill; Yida Zhang; Larry Vadakedathu; Samarth Brahmbhatt; Richa Agrawal; Vibhavari Dasagi (RoboCup, 2013)

Extensions of a RoboCup Soccer Software Framework. - Stephen G. McGill; Seung-Joon Yi; Yida Zhang; Daniel D. Lee (RoboCup, 2013)

Modular low-cost humanoid platform for disaster response. - Seung-Joon Yi; Stephen G. McGill; Larry Vadakedathu; Qin He; Inyong Ha; Michael Rouleau; Dennis W. Hong; Daniel D. Lee (IROS, 2014)

THOR-OP humanoid robot for DARPA Robotics Challenge Trials 2013. - Seung-Joon Yi; Stephen G. McGill; Larry Vadakedathu; Qin He; Inyong Ha; Jeakweon Han; Hyunjong Song; Michael Rouleau; Dennis W. Hong; Daniel D. Lee (URAI, 2014)

Team THOR's adaptive autonomy for disaster response humanoids. - Stephen G. McGill; Seung-Joon Yi; Daniel D. Lee (Humanoids, 2015)

RoboCup 2015 Humanoid AdultSize League Winner. - Seung-Joon Yi; Stephen G. McGill; Heejin Jeong; Jinwook Huh; Marcell Missura; Hak Yi; Min Sung Ahn; Sanghyun Cho; Kevin Liu; Dennis W. Hong; Daniel D. Lee (RoboCup, 2015)

Team THOR's Entry in the DARPA Robotics Challenge Trials 2013. - Seung-Joon Yi; Stephen G. McGill; Larry Vadakedathu; Qin He; Inyong Ha; Jeakweon Han; Hyunjong Song; Michael Rouleau; Byoung-Tak Zhang; Dennis W. Hong; Mark Yim; Daniel D. Lee (J. Field Robotics, 2015)

Low dimensional human preference tracking for motion optimization. - Stephen G. McGill; Seung-Joon Yi; Daniel D. Lee (ICRA, 2016)

Team THOR's Entry in the DARPA Robotics Challenge Finals 2015. - Stephen G. McGill; Seung-Joon Yi; Hak Yi; Min Sung Ahn; Sanghyun Cho; Kevin Liu; Daniel Sun 002; Bhoram Lee; Heejin Jeong; Jinwook Huh; Dennis W. Hong; Daniel D. Lee (J. Field Robotics, 2017)

Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. - Xin Huang 018; Stephen G. McGill; Brian C. Williams; Luke Fletcher; Guy Rosman (ICRA, 2019)

Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. - Xin Huang 018; Stephen G. McGill; Jonathan A. DeCastro; Brian C. Williams; Luke Fletcher; John J. Leonard; Guy Rosman (CoRR, 2019)

Probabilistic Risk Metrics for Navigating Occluded Intersections. - Stephen G. McGill; Guy Rosman; Teddy Ort; Alyssa Pierson; Igor Gilitschenski; Brandon Araki; Luke Fletcher; Sertac Karaman; Daniela Rus; John J. Leonard (IEEE Robotics Autom. Lett., 2019)

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. - Xin Huang 018; Stephen G. McGill; Jonathan A. DeCastro; Luke Fletcher; John J. Leonard; Brian C. Williams; Guy Rosman (IEEE Robotics Autom. Lett., 2020)

TIP: Task-Informed Motion Prediction for Intelligent Systems. - Xin Huang 018; Guy Rosman; Ashkan Jasour; Stephen G. McGill; John J. Leonard; Brian C. Williams (CoRR, 2021)

CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. - Xin Huang 018; Stephen G. McGill; Jonathan A. DeCastro; Luke Fletcher; John J. Leonard; Brian C. Williams; Guy Rosman (IEEE Robotics Autom. Lett., 2021)

HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. - Xin Huang 018; Guy Rosman; Igor Gilitschenski; Ashkan Jasour; Stephen G. McGill; John J. Leonard; Brian C. Williams (ICRA, 2022)

Trajectory Prediction with Linguistic Representations. - Yen-Ling Kuo; Xin Huang 018; Andrei Barbu; Stephen G. McGill; Boris Katz; John J. Leonard; Guy Rosman (ICRA, 2022)

TIP: Task-Informed Motion Prediction for Intelligent Vehicles. - Xin Huang 018; Guy Rosman; Ashkan Jasour; Stephen G. McGill; John J. Leonard; Brian C. Williams (IROS, 2022)