Autonomous Robot Force Feedback Detection for Container Jams

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Fulfillment centers face inefficiencies in processing orders due to complications in product retrieval, sorting, and packaging, particularly when items are not in the same location or require transfer between facilities, leading to bottlenecks and increased handling times.

Innovation Solution

Implementing foldable containers with automated force feedback detection for autonomous robots that allow both manual and robotic handling, ensuring ergonomic interaction and preventing jams during transport, while optimizing order consolidation and sorting processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If autonomous robots transport containers manually, then handling flexibility is improved, but ergonomic risks and handling time increase

Engineering Contradiction:
Improvehandling flexibilityVSAvoidhandling time
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system enables autonomous robots to self-regulate their interaction with containers through force feedback detection. The robot independently detects when manual interaction is needed and automatically adjusts its behavior, eliminating the need for continuous human monitoring while maintaining ergonomic handling.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Force feedback sensors provide real-time information about manual interaction forces applied to containers by humans. This feedback loop allows the robot to detect ergonomic risks and adjust its control accordingly, preventing both injury and handling delays.

Inventive Principle:
Principle #23Feedback

2Reliability

If autonomous robots maintain continuous control of containers, then transport reliability is improved, but jam occurrence increases during manual interaction

Engineering Contradiction:
Improvetransport reliabilityVSAvoidjam occurrence
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system proactively detects force feedback indicating impending manual interaction before a jam can occur. By anticipating the need for human intervention and preparing to release control, the system prevents jams rather than reacting to them after they occur.

Inventive Principle:
Principle #9Preliminary anti-action

Solution Approach 2:

Real-time force feedback detection allows the robot to sense when a human is approaching or touching the container. This continuous monitoring enables the robot to adjust its control in advance, maintaining reliability while preventing harmful jams during manual interaction.

Inventive Principle:
Principle #23Feedback

3Ease of operation

If force feedback detection is implemented, then ergonomic safety is improved, but system complexity increases

Engineering Contradiction:
Improveergonomic safetyVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system replaces complex mechanical safety monitoring systems with force feedback sensors that provide ergonomic safety through simpler electronic detection. The sensors measure forces directly, eliminating the need for complex mechanical interlocks or multiple safety systems.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Improves throughput and efficiency in fulfillment centers by enabling seamless handling of containers across facilities, reducing processing time, and enhancing ergonomics for human-robot interaction.

Implementation Method 1

a sensor (e.g., a load cell) of the autonomous robot may be configured to detect a change in weight distribution

Methodology Applied
Scientific EffectForce feedback detection: Force

Data Source

PatentUS12459795B1Automated force feedback detection for autonomous robots transporting containers
Publication Date: 2025.11.04 AMAZON TECH INC
  • US12459795B1 patent drawing
  • US12459795B1 patent drawing
  • US12459795B1 patent drawing

AI summary

Systems and methods are disclosed for automated force feedback detection for autonomous robots transporting containers. In one embodiment, an example mobile robot is configured to transport a container. The mobile robot can include a first sensor, a second sensor, a motor, and a controller. The controller may be configured to determine that the container is loaded, determine, using at least one of the first sensor and the second sensor, that a first change in load distribution along a first axis satisfies a threshold, determine that the first change in load distribution has persisted for a first length of time, and cause the motor to be disabled.