Creative Problem Solving by Robots Using Action Primitive Discovery. - Evana Gizzi; Mateo Guaman Castro; Jivko Sinapov (ICDL-EPIROB, 2019)

A Novelty-Centric Agent Architecture for Changing Worlds. - Muhammad Faizan; Vasanth Sarathy; Gyan Tatiya; Shivam Goel; Saurav Gyawali; Mateo Guaman Castro; Jivko Sinapov; Matthias Scheutz (AAMAS, 2021)

Toward Life-Long Creative Problem Solving: Using World Models for Increased Performance in Novelty Resolution. - Evana Gizzi; Wo Wei Lin; Mateo Guaman Castro; Ethan Harvey; Jivko Sinapov (ICCC, 2022)

How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability. - Mateo Guaman Castro; Samuel Triest; Wenshan Wang; Jason M. Gregory; Felix A. Sanchez; John G. Rogers; Sebastian A. Scherer (ICRA, 2023)

Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. - Samuel Triest; Mateo Guaman Castro; Parv Maheshwari; Matthew Sivaprakasam; Wenshan Wang; Sebastian A. Scherer (ICRA, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks. - Matthew Sivaprakasam; Parv Maheshwari; Mateo Guaman Castro; Samuel Triest; Micah Nye; Steven Willits; Andrew Saba; Wenshan Wang; Sebastian A. Scherer (ICRA, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

Agile Continuous Jumping in Discontinuous Terrains. - Yuxiang Yang 007; Guanya Shi; Changyi Lin; Xiangyun Meng; Rosario Scalise; Mateo Guaman Castro; Wenhao Yu 003; Tingnan Zhang; Ding Zhao; Jie Tan 001; Byron Boots (CoRR, 2024)

Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps. - Matt Schmittle; Rohan Baijal; Nathan Hatch; Rosario Scalise; Mateo Guaman Castro; Sidharth Talia; Khimya Khetarpal; Byron Boots; Siddhartha S. Srinivasa (CoRR, 2025)