Review of autonomous path planning algorithms for mobile robots

H Qin, S Shao, T Wang, X Yu, Y Jiang, Z Cao - Drones, 2023‏ - mdpi.com
Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles,
play an increasingly important role in people's work and lives. Path planning and obstacle …

Path planning for autonomous mobile robots: A review

JR Sánchez-Ibáñez, 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 …

Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action

D Shah, B Osiński, S Levine - Conference on robot …, 2023‏ - proceedings.mlr.press
Goal-conditioned policies for robotic navigation can be trained on large, unannotated
datasets, providing for good generalization to real-world settings. However, particularly in …

Habitat 2.0: Training home assistants to rearrange their habitat

A Szot, A Clegg, E Undersander… - Advances in neural …, 2021‏ - proceedings.neurips.cc
Abstract We introduce Habitat 2.0 (H2. 0), a simulation platform for training virtual robots in
interactive 3D environments and complex physics-enabled scenarios. We make …