Ted Xiao

462 total citations
7 papers, 79 citations indexed

About

Ted Xiao is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Ted Xiao has authored 7 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ted Xiao's work include Robot Manipulation and Learning (3 papers), Reinforcement Learning in Robotics (3 papers) and Speech and dialogue systems (1 paper). Ted Xiao is often cited by papers focused on Robot Manipulation and Learning (3 papers), Reinforcement Learning in Robotics (3 papers) and Speech and dialogue systems (1 paper). Ted Xiao collaborates with scholars based in United States, United Kingdom and Australia. Ted Xiao's co-authors include Sergey Levine, Somil Bansal, Claire J. Tomlin, Roberto Calandra, Harris Chan, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Pierre Sermanet and Jonathan Tompson and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Ted Xiao

5 papers receiving 79 citations

Peers

Ted Xiao
Comparison fields: 5 of 30
  • Control and Systems Engineering 50
  • Artificial Intelligence 30
  • Computer Vision and Pattern Recognition 26
  • Computational Theory and Mathematics 12
  • Aerospace Engineering 8
Quan Vuong United States
Ignasi Clavera United States
Yotam Doron United Kingdom
Coline Devin United States
Harris Chan Canada
Maximilian Igl United Kingdom
Zhang-Wei Hong Taiwan
Stefan Campbell United States
Xueyi Zou China
D. Stampfer Germany
Quan Vuong United States View profile →
Citations per field, relative to Ted Xiao
Ted Xiao · 1×
Citations per year, relative to Ted Xiao
Ted Xiao · 1×

Countries citing papers authored by Ted Xiao

Since Specialization
Citations

This map shows the geographic impact of Ted Xiao'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 Ted Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Xiao more than expected).

Fields of papers citing papers by Ted Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ted Xiao. 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 Ted Xiao. The network helps show where Ted Xiao may publish in the future.

Co-authorship network of co-authors of Ted Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Ted Xiao. A scholar is included among the top collaborators of Ted Xiao 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 Ted Xiao. Ted Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Title Journal Authors Indexed citations
1 RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation Soroush Nasiriany, Sean Kirmani et al. 0
2 STEER: Flexible Robotic Manipulation via Dense Language Grounding Alex Irpan, Sean Kirmani et al. 0
3 How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies Ted Xiao, Sumeet Singh et al. 8
4 Efficient Data Collection for Robotic Manipulation via Compositional Generalization Annie Xie, Ted Xiao et al. 2
5 Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models Ted Xiao, Harris Chan et al. 22
6 Thinking While Moving: Deep Reinforcement Learning with Concurrent Control arXiv (Cornell University) Ted Xiao, Eric Jang et al. 1
7 Goal-driven dynamics learning via Bayesian optimization Somil Bansal, Roberto Calandra et al. 46

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026