[HTML][HTML] Path planning for autonomous mobile robots: A review

JR Sanchez-Ibanez, CJ Pérez-del-Pulgar… - Sensors, 2021 - mdpi.com
Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

Into the robotic depths: analysis and insights from the DARPA subterranean challenge

TH Chung, V Orekhov, A Maio - Annual Review of Control …, 2023 - annualreviews.org
The Defense Advanced Research Projects Agency (DARPA) Subterranean Challenge
represented a multiyear (2018–2021), competition-based initiative to inspire and shape the …

[PDF][PDF] Cerberus: Autonomous legged and aerial robotic exploration in the tunnel and urban circuits of the darpa subterranean challenge

M Tranzatto, F Mascarich, L Bernreiter… - arXiv preprint arXiv …, 2022 - academia.edu
Autonomous exploration of subterranean environments constitutes a major frontier for
robotic systems as underground settings present key challenges that can render robot …

Elevation mapping for locomotion and navigation using gpu

T Miki, L Wellhausen, R Grandia… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
Perceiving the surrounding environment is crucial for autonomous mobile robots. An
elevation map provides a memory-efficient and simple yet powerful geometric represen …

[HTML][HTML] Robotic exploration of an unknown nuclear environment using radiation informed autonomous navigation

K Groves, E Hernandez, A West, T Wright, B Lennox - Robotics, 2021 - mdpi.com
This paper describes a novel autonomous ground vehicle that is designed for exploring
unknown environments which contain sources of ionising radiation, such as might be found …

An efficient locally reactive controller for safe navigation in visual teach and repeat missions

M Mattamala, N Chebrolu… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
To achieve successful field autonomy, mobile robots need to freely adapt to changes in their
environment. Visual navigation systems such as Visual Teach and Repeat (VT&R) often …

NeBula: TEAM CoSTAR's robotic autonomy solution that won phase II of DARPA subterranean challenge

B Morrell, R Thakker, À Santamaria Navarro… - Field …, 2022 - upcommons.upc.edu
This paper presents and discusses algorithms, hardware, and software architecture
developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots) …

Flexible supervised autonomy for exploration in subterranean environments

H Biggie, ER Rush, DG Riley, S Ahmad… - arXiv preprint arXiv …, 2023 - arxiv.org
While the capabilities of autonomous systems have been steadily improving in recent years,
these systems still struggle to rapidly explore previously unknown environments without the …

[HTML][HTML] DEM-AIA: Asymmetric inclination-aware trajectory planner for off-road vehicles with digital elevation models

M Toscano-Moreno, A Mandow, MA Martínez… - … Applications of Artificial …, 2023 - Elsevier
Planning safe and effective trajectories for off-road unmanned ground vehicles (UGV) is a
critical Artificial Intelligence (AI) challenge that can benefit from recent advances in digital …

OHM: GPU based occupancy map generation

K Stepanas, J Williams, E Hernández… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Occupancy grid maps (OGMs) are fundamental to most systems for autonomous robotic
navigation. However, CPU-based implementations struggle to keep up with data rates from …