Tenny Yin

Hi! I am a PhD student at Princeton advised by Prof. Ani Majumdar. I'm interested in building robots that can do any task, and training video world models that are fast, generalizable, and can learn from diverse interaction data. Previously, I interned at Toyota Research Institute (TRI), and received my B.S. in CS and ECE from Cornell University, where I worked with Prof. Hadas Kress-Gazit and Prof. Bharath Hariharan.

📮 tenny [dot] yin [at] princeton [dot] edu

Google Scholar / X / GitHub / LinkedIn

Selected Publications

Training Controllable World Models via Action Influence Maximization

Samuel M. Bateman, Tenny Yin, Chongyi Zheng, Lei Huang, Brian Wang, Benjamin Eysenbach, Jaime Fernández Fisac, Dhruv Shah

Conference on Robot Learning (CoRL), 2026

Paper Website Code

AnyRank: Reliable Anytime Policy Ranking via Sequential Testing

Apurva Badithela*, David Snyder*, Tenny Yin, Jade Sceats, George Pappas, Nikolai Matni, Masha Itkina, Haruki Nishimura, Anirudha Majumdar

Conference on Robot Learning (CoRL), 2026

Paper Website Code

EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning

Lihan Zha*, Shresth Grover*, Tenny Yin, Samuel M. Bateman, Hengkai Pan, Mengchao Zhang, Aykut Onol, Allen Z. Ren, Dhruv Shah, Anirudha Majumdar

arXiv preprint, 2026

Paper Website

PlayWorld: Learning Robot World Models from Autonomous Play

Tenny Yin, Zhiting Mei, Zhonghe Zheng, Miyu Yamane, David Wang, Jade Sceats, Samuel M. Bateman, Lihan Zha, Apurva Badithela, Ola Shorinwa, Anirudha Majumdar

Conference on Robot Learning (CoRL), 2026

Paper Website Code

LAP: Language-Action Pre-training Enables Zero-Shot Cross-Embodiment Transfer

Lihan Zha, Asher J. Hancock, Mingtong Zhang, Tenny Yin, Yixuan Huang, Dhruv Shah, Allen Z. Ren, Anirudha Majumdar

Robotics: Science and Systems (RSS), 2026

Paper Website Code

Video Generation Models in Robotics - Applications, Research Challenges, Future Directions

Zhiting Mei*, Tenny Yin*, Ola Shorinwa*, Apurva Badithela, Zhonghe Zheng, Joseph Bruno, Madison Bland, Lihan Zha, Asher Hancock, Jaime Fernandez Fisac, Philip Dames, Anirudha Majumdar

arXiv preprint, 2026

Paper

World Models That Know When They Don't Know: Controllable Video Generation with Calibrated Uncertainty

Zhiting Mei*, Tenny Yin, Micah Baker, Ola Shorinwa*, Anirudha Majumdar

arXiv preprint, 2025

Paper Code Website

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?

Zhiting Mei*, Christina Zhang, Tenny Yin, Justin Lidard, Ola Shorinwa*, Anirudha Majumdar

Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2025

Paper Website

WoMAP: World Models For Embodied Open-Vocabulary Object Localization

Tenny Yin*, Zhiting Mei, Tao Sun, Lihan Zha, Emily Zhou, Jeremy Bao, Miyu Yamane, Ola Shorinwa*, Anirudha Majumdar

Conference on Robot Learning (CoRL), 2025

🏆 Best Paper Award, RSS 2025 SWoMo and SemRob Workshops

Paper Website Code

Robust Task-Based Design of Modular Manipulators With Single Joint Failure

Tenny Yin*, Thais Campos Farley*, Hadas Kress-Gazit

IEEE International Conference on Automation Science and Engineering (CASE), 2025

Paper

Continuous Execution of High-Level Collaborative Tasks for Heterogeneous Robot Teams

Amy Fang, Tenny Yin, Janna Lin, Hadas Kress-Gazit

Main Paper Under Review

Extension Paper (RA-L 2025)

LibPreemptible: Enabling Fast, Adaptive, and Hardware-Assisted User-Space Scheduling

Yueying Li, Nikita Lazarev, David Koufaty, Tenny Yin, Andy Anderson, Zhiru Zhang, Edward Suh, Kostis Kaffes, Christina Delimitrou

IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2024

Paper