Harel Biggie

According to our database, Harel Biggie authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge.

Kamak Ebadi, Lukas Bernreiter, Harel Biggie, Gavin Catt, Yun Chang, Arghya Chatterjee, Christopher E. Denniston, Simon-Pierre Deschênes, Kyle Harlow, Shehryar Khattak, Lucas Nogueira, Matteo Palieri, Pavel Petrácek, Matej Petrlík, Andrzej Reinke, Vít Krátký, Shibo Zhao, Ali-akbar Agha-mohammadi, Kostas Alexis, Christoffer Heckman, Kasra Khosoussi, Navinda Kottege, Benjamin Morrell, Marco Hutter, Fred Pauling, François Pomerleau, Martin Saska, Sebastian A. Scherer, Roland Siegwart, Jason L. Williams, Luca Carlone

IEEE Trans. Robotics, 2024

Kalman Filter Auto-Tuning With Consistent and Robust Bayesian Optimization.

Zhaozhong Chen, Harel Biggie, Nisar R. Ahmed, Simon Julier, Christoffer Heckman

IEEE Trans. Aerosp. Electron. Syst., 2024

CogExplore: Contextual Exploration with Language-Encoded Environment Representations.

Harel Biggie, Patrick Cooper, Doncey Albin, Kristen Such, Christoffer Heckman

CoRR, 2024

2023

Terrain-aware semantic mapping for cooperative subterranean exploration.

Michael J. Miles, Harel Biggie, Christoffer Heckman

Frontiers Robotics AI, February, 2023

Flexible Supervised Autonomy for Exploration in Subterranean Environments.

Harel Biggie, Eugene R. Rush, Danny G. Riley, Shakeeb Ahmad, Michael Ohradzansky, Kyle Harlow, Michael J. Miles, Daniel Torres, Steve McGuire, Eric W. Frew, Christoffer Heckman, James Sean Humbert

Field Robotics, January, 2023

Restorebot: Towards an Autonomous Robotics Platform for Degraded Rangeland Restoration.

Kristen Such, Harel Biggie, Christoffer Heckman

CoRR, 2023

Kalman Filter Auto-tuning through Enforcing Chi-Squared Normalized Error Distributions with Bayesian Optimization.

Zhaozhong Chen, Harel Biggie, Nisar R. Ahmed, Simon Julier, Christoffer Heckman

CoRR, 2023

BO-ICP: Initialization of Iterative Closest Point Based on Bayesian Optimization.

Harel Biggie, Andrew Beathard, Christoffer Heckman

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Tell Me Where to Go: A Composable Framework for Context-Aware Embodied Robot Navigation.

Harel Biggie, Ajay Narasimha Mopidevi, Dusty Woods, Christoffer R. Heckman

Proceedings of the Conference on Robot Learning, 2023

2022

Multi-Agent Autonomy: Advancements and Challenges in Subterranean Exploration.

Michael Ohradzansky, Eugene R. Rush, Danny G. Riley, Andrew B. Mills, Shakeeb Ahmad, Steve McGuire, Harel Biggie, Kyle Harlow, Michael J. Miles, Eric W. Frew, Christoffer Heckman, James Sean Humbert

Field Robotics, March, 2022

Present and Future of SLAM in Extreme Underground Environments.

Kamak Ebadi, Lukas Bernreiter, Harel Biggie, Gavin Catt, Yun Chang, Arghya Chatterjee, Christopher E. Denniston, Simon-Pierre Deschênes, Kyle Harlow, Shehryar Khattak, Lucas Nogueira, Matteo Palieri, Pavel Petrácek, Matej Petrlík, Andrzej Reinke, Vít Krátký, Shibo Zhao, Ali-akbar Agha-mohammadi, Kostas Alexis, Christoffer Heckman, Kasra Khosoussi, Navinda Kottege, Benjamin Morrell, Marco Hutter, Fred Pauling, François Pomerleau, Martin Saska, Sebastian A. Scherer, Roland Siegwart, Jason L. Williams, Luca Carlone

CoRR, 2022

Heterogeneous Ground-Air Autonomous Vehicle Networking in Austere Environments: Practical Implementation of a Mesh Network in the DARPA Subterranean Challenge.

Harel Biggie, Steve McGuire

Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

2017

Contextual awareness: Understanding monologic natural language instructions for autonomous robots.

Jacob Arkin, Matthew R. Walter, Adrian Boteanu, Michael E. Napoli, Harel Biggie, Hadas Kress-Gazit, Thomas M. Howard

Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

On the performance of selective adaptation in state lattices for mobile robot motion planning in cluttered environments.

Michael E. Napoli, Harel Biggie, Thomas M. Howard

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning Models for Predictive Adaptation in State Lattices.

Michael E. Napoli, Harel Biggie, Thomas M. Howard

Proceedings of the Field and Service Robotics, 2017