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AutoExplorers: Autoencoder-Based Strategies for High-Entropy Exploration in Unknown Environments for Mobile Robots

Year: 2024

Type: conference-paper

Source: Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

DOI: 10.1109/icra57147.2024.10610693

Authors: Lennart Puck, Maximilian Schik, Tristan Schnell, Timothée Buettner, Arne Roennau, Rüdiger Dillmann

Institution: FZI Research Center for Information Technology

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4401417151

FWCI: 0.294

Cites: 37

Cited by: 1

Related to: 10