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Toki Migimatsu
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Journal Articles
- 2023
- [j3]Kevin Lin
, Christopher Agia
, Toki Migimatsu
, Marco Pavone
, Jeannette Bohg
:
Text2Motion: from natural language instructions to feasible plans. Auton. Robots 47(8): 1345-1365 (2023) - 2021
- [j2]Lin Shao
, Toki Migimatsu, Qiang Zhang, Karen Yang, Jeannette Bohg
:
Concept2Robot: Learning manipulation concepts from instructions and human demonstrations. Int. J. Robotics Res. 40(12-14): 1419-1434 (2021) - 2020
- [j1]Toki Migimatsu
, Jeannette Bohg
:
Object-Centric Task and Motion Planning in Dynamic Environments. IEEE Robotics Autom. Lett. 5(2): 844-851 (2020)
Conference and Workshop Papers
- 2024
- [c11]Brandon Vu, Toki Migimatsu, Jeannette Bohg:
COAST: COnstraints And STreams for Task and Motion Planning. ICRA 2024: 14875-14881 - 2023
- [c10]Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg
:
STAP: Sequencing Task-Agnostic Policies. ICRA 2023: 7951-7958 - [c9]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg
:
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. IROS 2023: 1-8 - 2022
- [c8]Toki Migimatsu, Wenzhao Lian, Jeannette Bohg
, Stefan Schaal:
Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. ICRA 2022: 1702-1709 - [c7]Toki Migimatsu, Jeannette Bohg
:
Grounding Predicates through Actions. ICRA 2022: 3498-3504 - [c6]Nick Heppert
, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg
:
Category-Independent Articulated Object Tracking with Factor Graphs. IROS 2022: 3800-3807 - 2021
- [c5]Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg
:
OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation. ICRA 2021: 5921-5927 - 2020
- [c4]Lin Shao, Toki Migimatsu, Jeannette Bohg
:
Learning to Scaffold the Development of Robotic Manipulation Skills. ICRA 2020: 5671-5677 - [c3]Lin Shao, Toki Migimatsu, Qiang Zhang, Kaiyuan Yang, Jeannette Bohg:
Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations. Robotics: Science and Systems 2020 - 2017
- [c2]Samir Menon, Takatoki Migimatsu, Oussama Khatib:
Controlling Muscle-Actuated Articulated Bodies in Operational Space. ISRR 2017: 1037-1053 - 2016
- [c1]Samir Menon, Toki Migimatsu, Oussama Khatib:
A parameterized family of anatomically accurate human upper-body musculoskeletal models for dynamic simulation & control. Humanoids 2016: 587-594
Informal and Other Publications
- 2024
- [i12]Brandon Vu, Toki Migimatsu, Jeannette Bohg:
COAST: Constraints and Streams for Task and Motion Planning. CoRR abs/2405.08572 (2024) - 2023
- [i11]Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg:
Text2Motion: From Natural Language Instructions to Feasible Plans. CoRR abs/2303.12153 (2023) - 2022
- [i10]Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, Stefan Schaal:
Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. CoRR abs/2203.02468 (2022) - [i9]Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg:
Category-Independent Articulated Object Tracking with Factor Graphs. CoRR abs/2205.03721 (2022) - [i8]Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg:
TAPS: Task-Agnostic Policy Sequencing. CoRR abs/2210.12250 (2022) - [i7]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg:
Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks. CoRR abs/2211.06134 (2022) - 2021
- [i6]Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg:
OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation. CoRR abs/2103.14283 (2021) - [i5]Toki Migimatsu, Jeannette Bohg:
Grounding Predicates through Actions. CoRR abs/2109.14718 (2021) - 2019
- [i4]Lin Shao, Toki Migimatsu, Jeannette Bohg:
Learning to Scaffold the Development of Robotic Manipulation Skills. CoRR abs/1911.00969 (2019) - [i3]Toki Migimatsu, Jeannette Bohg:
Object-Centric Task and Motion Planning in Dynamic Environments. CoRR abs/1911.04679 (2019) - 2015
- [i2]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:
An Empirical Evaluation of Deep Learning on Highway Driving. CoRR abs/1504.01716 (2015) - [i1]Pranav Rajpurkar, Toki Migimatsu, Jeff Kiske, Royce Cheng-Yue, Sameep Tandon, Tao Wang, Andrew Y. Ng:
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving. CoRR abs/1512.01872 (2015)
Coauthor Index
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