Evaluation of Socially-Aware Robot Navigation.

Area of Science:

• Robotics
• Human-Robot Interaction
• Artificial Intelligence

Background:

• Mobile robots are increasingly integrated into daily life, necessitating safe and socially acceptable navigation in shared spaces.
• Existing research in socially-aware robot navigation lacks standardized evaluation protocols and benchmarks.
• This hinders systematic development and comparison of different navigation strategies.

Purpose of the Study:

• To review current evaluation methods, scenarios, datasets, and metrics in socially-aware robot navigation research.
• To identify and discuss the limitations of existing evaluation protocols.
• To highlight research opportunities for advancing socially-aware robot navigation.

Main Methods:

• Systematic literature review of existing socially-aware robot navigation research.
• Analysis of commonly used evaluation approaches, including scenarios, datasets, and metrics.
• Identification of gaps and limitations in current evaluation methodologies.

Main Results:

• A comprehensive overview of diverse evaluation techniques employed in the field.
• Identification of inconsistencies and shortcomings in current benchmarks and protocols.
• Key areas for future research and development in socially-aware navigation are highlighted.

Conclusions:

• Standardized evaluation protocols are crucial for the advancement of socially-aware robot navigation.
• Addressing the identified limitations will facilitate more robust development and reliable comparisons.
• Future research should focus on developing agreed-upon benchmarks to ensure safe and socially acceptable robot integration.