Mark Tjersland

According to our database, Mark Tjersland authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Mark Tjersland, Robert Lee, Alexandre Dilly, Rares Ambrus, Koichi Nishiwaki

CoRR, May, 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, April, 2025

A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration.

Richard Cheng, Chavdar Papozov, Daniel M. Helmick, Mark Tjersland

CoRR, February, 2025

2024

A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration.

Richard Cheng, Chavdar Papazov, Daniel M. Helmick, Mark Tjersland

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

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, Chavdar Papazov, Josh Petersen, Krishna Shankar, Mark Tjersland

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

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

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Learned Stereo.

Jeremy Ma, Krishna Shankar, Mark Tjersland, Kevin Stone, Max Bajracharya

Dataset, May, 2022

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

2021

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo.

Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021