Delivery Robot Internal Camera System for Adaptive Storage Detection

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Delivery robots used in daily life, such as those transporting food or small items, face challenges in safely navigating obstacles and ensuring items do not fall during transport, especially over bumps or when moving long distances. Additionally, there is a need to optimize the use of internal space as the types of delivery items become more diverse.

Innovation Solution

A delivery robot equipped with a camera that can detect items inside the storage compartment, utilizing a controller to determine the presence of items by analyzing images from the internal camera. The robot includes a detachable partition that can be mounted or removed based on the storage configuration, and an elastic sensor to detect the partition's status. The robot also features a sliding shelf that can extend or retract, and an internal camera system that allows for safe operation and efficient use of space.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Length of moving object

If a delivery robot moves over bumps or long distances, then it can deliver items to remote locations, but items may fall from the shelf during transport

Engineering Contradiction:
Improvetravel distanceVSAvoiditem safety
Core Design Contradiction:
Length of moving objectVSReliability

Solution Approach 1:

The patent applies beforehand cushioning by equipping the delivery robot with multiple sensors (cameras, LIDAR, ultrasonic sensors) that detect obstacles and terrain conditions in advance. The controller processes this sensor data to predict potential hazards and adjust the robot's movement accordingly, cushioning against the risk of item displacement before it occurs during long-distance or bumpy transport

Inventive Principle:
Principle #11Beforehand cushioning (Prior cushioning)

2Extent of automation

If the robot operates unmanned to move long distances, then it can deliver items autonomously, but it must detect surrounding obstacles using multiple sensors

Engineering Contradiction:
Improveunmanned operationVSAvoidsensor system
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The patent applies universality by designing a multi-functional sensor system where a single controller integrates multiple detection functions. The same sensor array serves both obstacle detection for navigation and terrain analysis for item safety, reducing overall system complexity while maintaining autonomous operation capabilities

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If the storage space is optimized for diverse delivery items, then utilization increases, but the robot must detect and adapt to different item configurations

Engineering Contradiction:
Improvestorage utilizationVSAvoiditem detection
Core Design Contradiction:
Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent applies feedback by using the internal camera to continuously monitor item placement in the storage compartment. The controller receives real-time visual feedback about item configurations and adjusts the robot's handling and transport behavior accordingly, enabling adaptive storage utilization for diverse items while simplifying detection through automated visual monitoring

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250091223A1Delivery robot
Publication Date: 2025.03.20 BEAR ROBOTICS INC
  • US20250091223A1 patent drawing
  • US20250091223A1 patent drawing
  • US20250091223A1 patent drawing

AI summary

Provided is a delivery robot including a body housing including a storage defined therein and a body opening defined in a front surface thereof, a door that operates in a closed state to cover the body opening or an open state to open the body opening, a detachable partition partitioning the inside of the storage in a left and right direction, an internal camera disposed inside the storage overlapping the partition and facing rearwards, and a controller that determines whether an item exists inside the storage based on an image collected from the internal camera. The controller determines whether the item exists by separating the image of the internal camera into a left image and a right image when the partition is mounted, and determines whether the item exists by analyzing the image of the internal camera as a whole when the partition is detached.