An Empirical Evaluation of Deep Learning on Highway Driving. - Brody Huval; Tao Wang; Sameep Tandon; Jeff Kiske; Will Song; Joel Pazhayampallil; Mykhaylo Andriluka; Pranav Rajpurkar; Toki Migimatsu; Royce Cheng-Yue; Fernando A. Mujica; Adam Coates 002; et al. (CoRR, 2015)

Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving. - Pranav Rajpurkar; Toki Migimatsu; Jeff Kiske; Royce Cheng-Yue; Sameep Tandon; Tao Wang; Andrew Y. Ng (CoRR, 2015)

A parameterized family of anatomically accurate human upper-body musculoskeletal models for dynamic simulation & control. - Samir Menon; Toki Migimatsu; Oussama Khatib (Humanoids, 2016)

Controlling Muscle-Actuated Articulated Bodies in Operational Space. - Samir Menon; Takatoki Migimatsu; Oussama Khatib (ISRR, 2017)

Learning to Scaffold the Development of Robotic Manipulation Skills. - Lin Shao 002; Toki Migimatsu; Jeannette Bohg (ICRA, 2020)

Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations. - Lin Shao 002; Toki Migimatsu; Qiang Zhang; Kaiyuan Yang 001; Jeannette Bohg (Robotics: Science and Systems, 2020)

Object-Centric Task and Motion Planning in Dynamic Environments. - Toki Migimatsu; Jeannette Bohg (IEEE Robotics Autom. Lett., 2020)

OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation. - Yifan You; Lin Shao 002; Toki Migimatsu; Jeannette Bohg (ICRA, 2021)

Concept2Robot: Learning manipulation concepts from instructions and human demonstrations. - Lin Shao 002; Toki Migimatsu; Qiang Zhang; Karen Yang; Jeannette Bohg (Int. J. Robotics Res., 2021)

Grounding Predicates through Actions. - Toki Migimatsu; Jeannette Bohg (ICRA, 2022)

Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. - Toki Migimatsu; Wenzhao Lian; Jeannette Bohg; Stefan Schaal (ICRA, 2022)

Category-Independent Articulated Object Tracking with Factor Graphs. - Nick Heppert; Toki Migimatsu; Brent Yi; Claire Chen; Jeannette Bohg (IROS, 2022)

TAPS: Task-Agnostic Policy Sequencing. - Christopher Agia; Toki Migimatsu; Jiajun Wu 001; Jeannette Bohg (CoRR, 2022)

Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks. - Kuan Fang; Toki Migimatsu; Ajay Mandlekar; Li Fei-Fei 001; Jeannette Bohg (CoRR, 2022)

STAP: Sequencing Task-Agnostic Policies. - Christopher Agia; Toki Migimatsu; Jiajun Wu 001; Jeannette Bohg (ICRA, 2023)

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. - Kuan Fang; Toki Migimatsu; Ajay Mandlekar; Li Fei-Fei 001; Jeannette Bohg (IROS, 2023)

Text2Motion: from natural language instructions to feasible plans. - Kevin Lin; Christopher Agia; Toki Migimatsu; Marco Pavone 001; Jeannette Bohg (Auton. Robots, 2023)

COAST: COnstraints And STreams for Task and Motion Planning. - Brandon Vu; Toki Migimatsu; Jeannette Bohg (ICRA, 2024)