Challenges in Applying Robotics to Retail Store Management

TL;DR

This paper discusses the challenges faced in applying robotics to retail store management, focusing on perception and mobile manipulation issues that hinder system scalability.

Contribution

It highlights the key technical challenges in perception and manipulation for autonomous retail management systems and emphasizes the need for integrated solutions.

Findings

Perception for anomaly detection remains a major challenge.

Mobile manipulation for anomaly correction is complex and underdeveloped.

System integration is crucial for scalable autonomous retail solutions.

Abstract

An autonomous retail store management system entails inventory tracking, store monitoring, and anomaly correction. Recent attempts at autonomous retail store management have faced challenges primarily in perception for anomaly detection, as well as new challenges arising in mobile manipulation for executing anomaly correction. Advances in each of these areas along with system integration are necessary for a scalable solution in this domain.