Kamak Ebadi

Orcid: 0000-0002-4094-7077

According to our database1, Kamak Ebadi authored at least 17 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

2022
NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge.
Field Robotics, March, 2022

LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping.
IEEE Robotics Autom. Lett., 2022

Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM.
IEEE Robotics Autom. Lett., 2022

LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments.
IEEE Robotics Autom. Lett., 2022

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

LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time Underground 3D Mapping.
CoRR, 2022

2021
Corrections to "LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time".
IEEE Robotics Autom. Lett., 2021

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time.
IEEE Robotics Autom. Lett., 2021

DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments.
J. Intell. Robotic Syst., 2021

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge.
CoRR, 2021

2020
LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Smoke Sky - Exploring New Frontiers of Unmanned Aerial Systems for Wildland Fire Science and Applications.
CoRR, 2019

2018
Rover Localization in Mars Helicopter Aerial Maps: Experimental Results in a Mars-Analogue Environment.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Improving Object Tracking Accuracy in Video Sequences Subject to Noise and Occlusion Impediments by Combining Feature Tracking with Kalman Filtering.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Scene Matching-based Localization of Unmanned Aerial Vehicles in Unstructured Environments.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Resolving occlusion ambiguity by combining Kalman tracking with feature tracking for image sequences.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017


  Loading...