SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo. - Thomas Kollar; Michael Laskey; Kevin Stone; Brijen Thananjeyan; Mark Tjersland (CoRL, 2021)

A Learned Stereo Depth System for Robotic Manipulation in Homes. - Krishna Shankar; Mark Tjersland; Jeremy Ma; Kevin Stone; Max Bajracharya (IEEE Robotics Autom. Lett., 2022)

Learned Stereo. - Jeremy Ma; Krishna Shankar; Mark Tjersland; Kevin Stone; Max Bajracharya (IEEE DataPort, 2022)

Motion Planning to Cartesian Targets Leveraging Large-Scale Dynamic Roadmaps. - Richard Cheng; Josh Petersen; James Borders; Daniel M. Helmick; Lukas Kaul; Dan Kruse; John Leichty; Carolyn Matl; Chavdar Papazov; Krishna Shankar; Mark Tjersland (CASE, 2023)

Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach. - Max Bajracharya; James Borders; Richard Cheng; Daniel M. Helmick; Lukas Kaul; Dan Kruse; John Leichty; Jeremy Ma; Carolyn Matl; Frank Michel 002; Chavdar Papazov; Josh Petersen; et al. (Robotics: Science and Systems, 2023)

A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration. - Richard Cheng; Chavdar Papazov; Daniel M. Helmick; Mark Tjersland (IROS, 2024)

A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration. - Richard Cheng; Chavdar Papozov; Daniel M. Helmick; Mark Tjersland (CoRR, 2025)

Practical Insights on Grasp Strategies for Mobile Manipulation in the Wild. - Isabella Huang; Richard Cheng; Sangwoon Kim; Dan Kruse; Carolyn Matl; Lukas Kaul; JC Hancock; Shanmuga Harikumar; Mark Tjersland; James Borders; Daniel M. Helmick (CoRR, 2025)

GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity. - Takuya Ikeda; Sergey Zakharov; Muhammad Zubair Irshad; Istvan Balazs Opra; Shun Iwase; Dian Chen 005; Mark Tjersland; Robert Lee; Alexandre Dilly; Rares Ambrus; Koichi Nishiwaki (CoRR, 2025)