Toki Migimatsu
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Co-authors
- Jeannette BohgChristopher AgiaMarco PavoneKevin LinLin ShaoQiang ZhangKaiyuan YangBrent Yi
- Topics
- Robot Manipulation and Learning (9 papers)Reinforcement Learning in Robotics (7 papers)Multimodal Machine Learning Applications (4 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- The International Journal of Robotics ResearchAutonomous Robots2022 International Conference on Robotics and Automation (ICRA)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Toki Migimatsu
12 papers receiving 244 citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Control and Systems Engineering 125
- Artificial Intelligence 115
- Computer Vision and Pattern Recognition 98
- Industrial and Manufacturing Engineering 27
- Mechanical Engineering 24
Countries citing papers authored by Toki Migimatsu
This map shows the geographic impact of Toki Migimatsu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Toki Migimatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toki Migimatsu more than expected).
Fields of papers citing papers by Toki Migimatsu
This network shows the impact of papers produced by Toki Migimatsu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Toki Migimatsu. The network helps show where Toki Migimatsu may publish in the future.
Co-authorship network of co-authors of Toki Migimatsu
This figure shows the co-authorship network connecting the top 25 collaborators of Toki Migimatsu. A scholar is included among the top collaborators of Toki Migimatsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Toki Migimatsu. Toki Migimatsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | Text2Motion: from natural language instructions to feasible plansbreakdown → | 119 |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 48 | |
| 9 | 8 | |
| 10 | 14 | |
| 11 | 29 | |
| 12 | 4 |
About Toki Migimatsu
Toki Migimatsu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 12 papers that have together received 253 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (7 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Control and Systems Engineering (125 citations), Computer Vision and Pattern Recognition (98 citations) and Artificial Intelligence (115 citations). Toki Migimatsu has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jeannette Bohg, Christopher Agia, Marco Pavone, Kevin Lin, Lin Shao, Qiang Zhang, Kaiyuan Yang, Brent Yi, Jiajun Wu and Stefan Schaal. Their work appears in journals such as The International Journal of Robotics Research, Autonomous Robots and 2022 International Conference on Robotics and Automation (ICRA).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.