Toki Migimatsu

According to our database, Toki Migimatsu authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Text2Motion: from natural language instructions to feasible plans.

Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg

Auton. Robots, December, 2023

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks.

Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg

IROS, 2023

STAP: Sequencing Task-Agnostic Policies.

Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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, Jeannette Bohg

CoRR, 2022

TAPS: Task-Agnostic Policy Sequencing.

Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg

CoRR, 2022

Category-Independent Articulated Object Tracking with Factor Graphs.

Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks.

Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, Stefan Schaal

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Grounding Predicates through Actions.

Toki Migimatsu, Jeannette Bohg

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Concept2Robot: Learning manipulation concepts from instructions and human demonstrations.

Lin Shao, Toki Migimatsu, Qiang Zhang, Karen Yang, Jeannette Bohg

Int. J. Robotics Res., 2021

OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation.

Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Object-Centric Task and Motion Planning in Dynamic Environments.

Toki Migimatsu, Jeannette Bohg

IEEE Robotics Autom. Lett., 2020

Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations.

Lin Shao, Toki Migimatsu, Qiang Zhang, Kaiyuan Yang, Jeannette Bohg

Proceedings of the Robotics: Science and Systems XVI, 2020

Learning to Scaffold the Development of Robotic Manipulation Skills.

Lin Shao, Toki Migimatsu, Jeannette Bohg

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2017

Controlling Muscle-Actuated Articulated Bodies in Operational Space.

Samir Menon, Takatoki Migimatsu, Oussama Khatib

Proceedings of the Robotics Research, The 18th International Symposium, 2017

2016

A parameterized family of anatomically accurate human upper-body musculoskeletal models for dynamic simulation & control.

Samir Menon, Toki Migimatsu, Oussama Khatib

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

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

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, Andrew Y. Ng

CoRR, 2015