Bohan Yang

I'm a first-year CS PhD student at the University of Wisconsin–Madison, advised by Mike Hagenow in the RT² Lab. My current research focuses on human-robot teaming and interactive robot learning. Broadly, I'm interested in making robot policies interpretable and steerable.

Previously, I received my BS in Computer Science from Cornell University, where I was fortunate to work with Tapomayukh Bhattacharjee at the EmPRISE Lab on assistive robotics.

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News

Aug 2026 Started my CS PhD at UW–Madison, advised by Mike Hagenow in the RT² Lab.
May 2026 Honored to receive the NSF INTEGRATE Research Training Program Fellowship.
Mar 2026 Attending HRI '26 in Edinburgh, Scotland. Check out our paper: A Human-in-the-Loop Confidence-Aware Failure Recovery Framework for Modular Robot Policies.
Jun 2025 Spending the summer at the Cornell BURE program doing research on VLA models.

Selected Publications

E-MPC project thumbnail Beyond Failure Recovery: An Engagement-Aware Human-in-the-loop Framework for Robotic Systems
Jiaying Fang, Joyce Yang, Zhanxin Wu, Bohan Yang, Tapomayukh Bhattacharjee
RSS, 2026
project page / arXiv

We propose Engagement-aware MPC (E-MPC), a user-engagement-aware method that plans interaction to maintain engagement while respecting a workload constraint.

Modular HIL project thumbnail A Human-in-the-Loop Confidence-Aware Failure Recovery Framework for Modular Robot Policies
Rohan Banerjee, Krishna Palempalli*, Bohan Yang*, Jiaying Fang, Alif Abdullah, Tom Silver, Sarah Dean†, Tapomayukh Bhattacharjee
HRI, 2026
project page / arXiv / code

A framework for modular policies that combines module-level uncertainty with models of human intervention cost to decide when and which module to query, evaluated on synthetic experiments and a robot-assisted bite acquisition system.


Last updated: September 2026
Template adapted from Jon Barron.