Robotic Refuse Container Coordination for Autonomous Replacement

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Solution Overview

Problem

Current autonomous robotic refuse container systems lack efficient methods for self-replacement and coordination, leading to potential malfunctions, full bins, and battery depletion, which can disrupt their operation and require manual intervention.

Innovation Solution

A method where processors of robotic refuse containers communicate to request and coordinate replacements based on factors like battery charge, fill volume, and location, using a control system to instruct navigation to charging stations or collection sites, and employing Markov Decision Processes to optimize replacement decisions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If autonomous robotic refuse containers operate independently without coordination, then each container can function autonomously, but system reliability deteriorates due to potential malfunctions, full bins, and battery depletion

Engineering Contradiction:
Improveautonomous operationVSAvoidsystem reliability
Core Design Contradiction:
Extent of automationVSReliability

Solution Approach 1:

The patent combines multiple robotic refuse containers into a coordinated fleet managed by a central control system. The control system integrates information from multiple containers regarding battery levels, fill volumes, and locations, enabling collective decision-making that improves overall system reliability while maintaining individual container autonomy for execution of tasks.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system implements continuous feedback loops where robotic containers report their status (battery charge, refuse volume, location) to the control system, which processes this information and sends replacement instructions. This feedback mechanism ensures that containers are proactively replaced before malfunctions occur, maintaining high system reliability.

Inventive Principle:
Principle #23Feedback

2Device complexity

If manual intervention is used to replace robotic refuse containers, then system complexity is reduced, but productivity deteriorates due to disruption of operation and time consumption

Engineering Contradiction:
Improvesystem complexityVSAvoidoperational continuity
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The robotic refuse containers are equipped with autonomous capabilities to request replacements when needed. The control system automatically processes these requests, selects appropriate replacement containers from the fleet, and coordinates navigation without human intervention. This self-service mechanism maintains operational continuity while managing system complexity through automation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system maintains a fleet of standby robotic containers that are pre-charged and ready for deployment. When a container needs replacement, a pre-prepared replacement unit is already available, eliminating wait time and ensuring continuous operation without requiring manual intervention to prepare replacements.

Inventive Principle:
Principle #10Preliminary action

3Loss of information

If robotic refuse containers do not coordinate replacements, then communication requirements are minimized, but loss of time increases due to inefficient replacement decisions

Engineering Contradiction:
Improvecommunication overheadVSAvoidreplacement decision time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

Containers continuously communicate their status (battery level, refuse volume, location) to the control system, which processes this feedback information to make optimal replacement decisions. This structured communication minimizes information loss while enabling efficient, data-driven replacement timing that reduces overall system downtime.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The control system monitors multiple parameters simultaneously (battery charge thresholds, refuse volume thresholds, container locations) and uses changes in these parameters to trigger replacement decisions. By tracking multiple parameters, the system makes comprehensive replacement decisions efficiently without requiring excessive communication overhead.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11144056B1Autonomous refuse container replacement system
Publication Date: 2021.10.12 AI INC
  • US11144056B1 patent drawing
  • US11144056B1 patent drawing
  • US11144056B1 patent drawing

AI summary

Included is a method for autonomous robotic refuse container replacement including: transmitting, by a processor of a first robotic refuse container, a request for replacement to a portion of processors of robotic refuse containers; receiving, by the processor of the first robotic refuse container, a return signal from a portion of processors of the robotic refuse containers; transmitting, by the processor of the first robotic refuse container, a confirmation for replacement to a processor of a second robotic refuse container in response to a return signal received from the processor of the second robotic refuse container; instructing, by the processor of the first robotic refuse container, the first robotic refuse container to navigate to a second location from a current location; and instructing, by the processor of the second robotic refuse container, the second robotic refuse container to navigate to the current location of the first robotic refuse container.