What question did this study set out to answer?

The aim is to improve robot mapping accuracy in unknown environments using active perception strategies.

January 23, 2026Open Access

Active Perception for Learning-Based Robot Mapping

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This thesis explores active perception methods to enhance mapping quality in unknown environments, suggesting new strategies for autonomous robots.

The aim is to improve robot mapping accuracy in unknown environments using active perception strategies.
Investigated active perception for robot mapping using learning-based techniques.
Implemented Gaussian processes, image-based neural rendering, and semantic neural radiance fields.
Developed tailored active perception strategies aligned with specific mapping methods.
Evaluated approaches in both simulations and real-world scenarios.
Showed improved mapping efficiency and quality through active perception strategies.
Demonstrated reduction in map uncertainty and enhancement of reconstruction fidelity.
Contributed methods published in peer-reviewed venues, ensuring scientific validity.

Liren Jin (2026) studied this question.

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January 23, 2026Open Access

View Full Paper

Ask AI

Bookmark

Authors

This thesis explores active perception methods to enhance mapping quality in unknown environments, suggesting new strategies for autonomous robots.

The aim is to improve robot mapping accuracy in unknown environments using active perception strategies.
Investigated active perception for robot mapping using learning-based techniques.
Implemented Gaussian processes, image-based neural rendering, and semantic neural radiance fields.
Developed tailored active perception strategies aligned with specific mapping methods.
Evaluated approaches in both simulations and real-world scenarios.
Showed improved mapping efficiency and quality through active perception strategies.
Demonstrated reduction in map uncertainty and enhancement of reconstruction fidelity.
Contributed methods published in peer-reviewed venues, ensuring scientific validity.

Liren Jin (2026) studied this question.

View Full Paper

Ask AI

Bookmark