Autonomous Cargo Robot Navigation for Aircraft Loading
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Solution Overview
Problem
There is no safe and autonomous system for loading and unloading cargo or supplies from military operating bases in warfare theaters, particularly for both fixed and rotary wing aircraft, without human interaction in austere environments.
Innovation Solution
An autonomous robotic cargo system (ARCS) capable of real-time obstacle avoidance, navigation, self-location, and operation within aircraft, utilizing tracks, cargo lifting and lowering forks, and advanced sensors like GPS and laser scanners to autonomously move cargo on and off aircraft.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous robotic cargo system is deployed, then cargo handling safety and efficiency are improved, but system complexity and operational difficulty increase
Solution Approach 1:
The autonomous robotic cargo system is divided into multiple independent modules including mobile robotic platform, cargo manipulation arms, sensors (laser scanners, GPS, cameras), and control systems. Each module operates semi-independently, allowing for easier maintenance, testing, and replacement of individual components without affecting the entire system.
Solution Approach 2:
The robotic system performs self-navigation, self-localization, and autonomous cargo handling operations without requiring human operators during execution. The system uses onboard sensors and processors to make real-time decisions, enabling it to service itself in terms of navigation and cargo manipulation, thereby improving safety by removing human personnel from hazardous environments.
2Object-affected harmful factors
If autonomous robotic cargo system is deployed, then human risk exposure is reduced, but operational complexity in austere environments increases
Solution Approach 1:
The system replaces human mechanical operations with robotic mechanisms equipped with advanced sensors including laser scanners, GPS receivers, and electro-optical/infra-red cameras. These sensors substitute human sensory and decision-making capabilities, enabling autonomous navigation and cargo handling in austere environments without exposing personnel to hazards.
Solution Approach 2:
The robotic system acts as an intermediary between cargo operations and human personnel, performing all hazardous tasks in contested or austere environments. The system includes communication interfaces that allow remote monitoring and high-level command input, serving as a mediator that protects human operators while maintaining operational control.
3Productivity
If advanced sensors and autonomous navigation are integrated, then cargo movement capability is improved, but system complexity and cost increase
Solution Approach 1:
The robotic system integrates multiple sensor types (laser scanners for obstacle detection, GPS for positioning, electro-optical/infra-red cameras for visual recognition) that serve multiple functions simultaneously. These sensors enable navigation, obstacle avoidance, cargo localization, and environmental mapping, allowing a single system to perform diverse cargo handling tasks across different aircraft types and austere environments.
Data Source
AI summary
The present disclosure is an autonomous robotic cargo system for moving and accurately positioning cargo inside an aircraft or at any other designated location in an austere environment. The system has a chassis coupled to one or more tracks for moving the chassis from a first location to a second location. The chassis is also coupled to one or more forks for loading cargo and unloading the cargo. In addition, the chassis has a laser scanner positioned on the chassis to capture data indicative of the chassis' environment. The system further has a control processor that pre-generates a preliminary pathway for the chassis to travel from the first location to the second location based upon laser scanner data received from the laser scanner. The control processor also controls the one or more forks to pick up cargo and controls the one or more tracks to move the cargo from the first location to the second location.