arXiv Open Access 2023

Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly

Daria de Tinguy Sven Remmery Pietro Mazzaglia Tim Verbelen Bart Dhoedt
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Abstrak

Learning to navigate unknown environments from scratch is a challenging problem. This work presents a system that integrates world models with curiosity-driven exploration for autonomous navigation in new environments. We evaluate performance through simulations and real-world experiments of varying scales and complexities. In simulated environments, the approach rapidly and comprehensively explores the surroundings. Real-world scenarios introduce additional challenges. Despite demonstrating promise in a small controlled environment, we acknowledge that larger and dynamic environments can pose challenges for the current system. Our analysis emphasizes the significance of developing adaptable and robust world models that can handle environmental changes to prevent repetitive exploration of the same areas.

Topik & Kata Kunci

Penulis (5)

D

Daria de Tinguy

S

Sven Remmery

P

Pietro Mazzaglia

T

Tim Verbelen

B

Bart Dhoedt

Format Sitasi

Tinguy, D.d., Remmery, S., Mazzaglia, P., Verbelen, T., Dhoedt, B. (2023). Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly. https://arxiv.org/abs/2308.15852

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Sumber Database
arXiv
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Open Access ✓