-
Category-Independent Articulated Object Tracking with Factor
Graphs
-
Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen,
and Jeannette Bohg.
arXiv preprint, 2022.
[bib]
-
Symbolic State Estimation with Predicates for Contact-Rich
Manipulation Tasks
-
Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, and
Stefan Schaal.
IEEE International Conference on Robotics and Automation
(ICRA), 2022.
[bib]
-
Grounding Predicates through Actions
-
Toki Migimatsu and Jeannette Bohg.
IEEE International Conference on Robotics and Automation
(ICRA), 2022.
[bib]
-
OmniHang: Learning to Hang Arbitrary Objects using Contact
Point Correspondences and Neural Collision Estimation
-
Yifan You*, Lin Shao*, Toki Migimatsu, and Jeannette
Bohg.
IEEE International Conference on Robotics and Automation
(ICRA), 2021.
[bib]
-
Concept2Robot: Learning Manipulation Concepts from
Instructions and Human Demonstrations
-
Lin Shao, Toki Migimatsu, Qiang Zhang, Karen Yang,
and Jeannette Bohg.
Robotics: Science and Systems (RSS), 2020.
[bib]
-
Object-Centric Task and Motion Planning in Dynamic
Environments
-
Toki Migimatsu and Jeannette Bohg.
IEEE Robotics and Automation Letters (RA-L) with ICRA
option, 2020.
[bib]
-
Learning to Scaffold the Development of Robotic Manipulation
Skills
-
Lin Shao, Toki Migimatsu, and Jeannette Bohg.
IEEE International Conference on Robotics and Automation
(ICRA), 2020.
[bib]
-
Controlling Muscle-Actuated Articulated Bodies in
Operational Space
-
Toki Migimatsu*, Samir Menon*, and Oussama Khatib.
18th International Symposium on Robotics Research
(ISRR), 2017.
[bib]
-
A Parameterized Family of Anatomically Accurate Human
Upper-Body Musculoskeletal Models for Dynamic Simulation
& Control
-
Samir Menon, Toki Migimatsu, and Oussama Khatib.
IEEE International Conference on Humanoid Robots
(Humanoids), 2016.
[bib]
-
Driverseat: Crowdstrapping Learning Tasks for Autonomous
Driving
-
Pranav Rajpurkar, Toki Migimatsu, Jeff Kiske, Royce
Cheng-Yue, Sameep Tandon, Tao Wang, and Andrew Ng.
32nd International Conference on Machine Learning
(ICML), 2015.
[bib]
-
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 Mujica,
Adam Coates, and Andrew Ng.
arXiv preprint, 2015.
[bib]
