Cerberus in the darpa subterranean challenge
This article presents the core technologies and deployment strategies of Team CERBERUS
that enabled our winning run in the DARPA Subterranean Challenge finals. CERBERUS is a …
that enabled our winning run in the DARPA Subterranean Challenge finals. CERBERUS is a …
Present and future of slam in extreme environments: The darpa subt challenge
This article surveys recent progress and discusses future opportunities for simultaneous
localization and mapping (SLAM) in extreme underground environments. SLAM in …
localization and mapping (SLAM) in extreme underground environments. SLAM in …
Present and future of slam in extreme underground environments
This paper reports on the state of the art in underground SLAM by discussing different SLAM
strategies and results across six teams that participated in the three-year-long SubT …
strategies and results across six teams that participated in the three-year-long SubT …
A UAV-based explore-then-exploit system for autonomous indoor facility inspection and scene reconstruction
Traditional indoor facility inspections on pipelines and boilers are conducted manually and
can be logistically challenging, labor-intensive, costly, and dangerous for the inspectors …
can be logistically challenging, labor-intensive, costly, and dangerous for the inspectors …
Oxpecker: A tethered uav for inspection of stone-mine pillars
B Martinez Rocamora Jr, RR Lima, K Samarakoon… - Drones, 2023 - mdpi.com
This paper presents a state-of-the-art tethered unmanned aerial vehicle (TUAV) for structural
integrity assessment of underground stone mine pillars. The TUAV, powered by its tether …
integrity assessment of underground stone mine pillars. The TUAV, powered by its tether …
Semantically-enhanced deep collision prediction for autonomous navigation using aerial robots
M Kulkarni, H Nguyen, K Alexis - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
This paper contributes a novel and modularized learning-based method for aerial robots
navigating cluttered environments containing hard-to-perceive thin obstacles without …
navigating cluttered environments containing hard-to-perceive thin obstacles without …
Learning Occluded Branch Depth Maps in Forest Environments Using RGB-D Images
C Geckeler, E Aucone, Y Schnider… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Covering over a third of all terrestrial land area, forests are crucial environments; as
ecosystems, for farming, and for human leisure. However, they are challenging to access for …
ecosystems, for farming, and for human leisure. However, they are challenging to access for …
Mimosa: A multi-modal slam framework for resilient autonomy against sensor degradation
This paper presents a framework for Multi-Modal SLAM (MIMOSA) that utilizes a nonlinear
factor graph as the underlying representation to provide loosely-coupled fusion of any …
factor graph as the underlying representation to provide loosely-coupled fusion of any …
Semantics-aware exploration and inspection path planning
M Dharmadhikari, K Alexis - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper contributes a novel strategy for semantics-aware autonomous exploration and
inspection path planning. Attuned to the fact that environments that need to be explored …
inspection path planning. Attuned to the fact that environments that need to be explored …
Residual dynamics learning for trajectory tracking for multi-rotor aerial vehicles
This paper presents a technique to model the residual dynamics between a high-level
planner and a low-level controller by considering reference trajectory tracking in a cluttered …
planner and a low-level controller by considering reference trajectory tracking in a cluttered …