Harel Biggie

Orcid: 0000-0002-6281-1218

According to our database1, Harel Biggie authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge.
IEEE Trans. Robotics, 2024

Kalman Filter Auto-Tuning With Consistent and Robust Bayesian Optimization.
IEEE Trans. Aerosp. Electron. Syst., 2024

2023
Terrain-aware semantic mapping for cooperative subterranean exploration.
Frontiers Robotics AI, February, 2023

Flexible Supervised Autonomy for Exploration in Subterranean Environments.
Field Robotics, January, 2023

Restorebot: Towards an Autonomous Robotics Platform for Degraded Rangeland Restoration.
CoRR, 2023

Kalman Filter Auto-tuning through Enforcing Chi-Squared Normalized Error Distributions with Bayesian Optimization.
CoRR, 2023

BO-ICP: Initialization of Iterative Closest Point Based on Bayesian Optimization.
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.
Proceedings of the Conference on Robot Learning, 2023

2022
Multi-Agent Autonomy: Advancements and Challenges in Subterranean Exploration.
Field Robotics, March, 2022

Present and Future of SLAM in Extreme Underground Environments.
CoRR, 2022

Heterogeneous Ground-Air Autonomous Vehicle Networking in Austere Environments: Practical Implementation of a Mesh Network in the DARPA Subterranean Challenge.
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

2017
Contextual awareness: Understanding monologic natural language instructions for autonomous robots.
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.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning Models for Predictive Adaptation in State Lattices.
Proceedings of the Field and Service Robotics, 2017


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