ROAM Lab (Robotics, Optimization, and Motion)
ROAM Lab at University of Notre Dame develops fundamental control strategies for quadruped robots using Model Hierarchy Predictive Control (MHPC). Research focuses on endowing robots with agility and robustness to navigate challenging terrains and environments.
Notable achievements
Cascaded-Fidelity Model Predictive Control for quadrupeds, terrain-adaptive locomotion
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers
Keyi Shen, Glen Chou
2026
Model predictive visual impedance control for adaptive physical interaction of compliant robots
Zhen Deng, Qinling Xu, Chao Zeng +1 more
Robotics and Autonomous Systems · 2026
Trajectory generation for contact-based routing of deformable linear objects using model predictive control using differentiable simulations
Changjian Ying, Kimitoshi Yamazaki
Robotics and Autonomous Systems · 2026
Trajectory tracking control for 6WID/4WIS UGV via nonlinear sliding mode-model predictive control with adaptive following steering and dynamic-static constraints
Shengyang Lu, Guanpeng Chen, Lijing Zhao +2 more
Robotics and Autonomous Systems · 2026
Distribution-Free Risk-Aware Planning and Control Under Uncertainty Using Conformal Spectral Risk Control
Junsik Eom, Tulga Ersal
2026
Graph-Based Modeling, Control, and Optimization for Multi-Domain and Multi-Timescale Energy Systems
Joseph M. Pisani, Christopher T. Aksland, Philip M. Renkert +7 more
2026