Reconfigurable Mobile Robot for Human Medevac Transport
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Solution Overview
Problem
Current all-terrain mobile robots lack the agility, maneuverability, and strength to safely lift and transport humans, especially in hazardous environments, as they become compromised when carrying payloads, and existing robots are not designed to handle medevac operations effectively.
Innovation Solution
A hybrid mobile robotic platform with Dynamic Balancing Behavior, an anthropomorphic torso, and articulated arms, equipped with a hydraulic system and JAUS-compatible software architecture, enabling the robot to navigate challenging terrain, lift and transport humans, and execute medical rescue protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If all-terrain mobile robots are designed to navigate rugged terrain, then their maneuverability is improved, but their ability to lift and transport payloads deteriorates
Solution Approach 1:
The robot employs a dynamically balanced mobile platform with adjustable configuration that can transition between different operational modes. The system uses real-time control to adjust its center of gravity and structural configuration based on whether it is prioritizing maneuverability or payload capacity, allowing it to optimize performance for the current task rather than being fixed in one design state
Solution Approach 2:
The robot changes its physical parameters dynamically - adjusting its center of gravity position, modifying structural configuration, and varying operational modes based on task requirements. This allows the same physical platform to exhibit different performance characteristics, switching between high maneuverability mode and high payload capacity mode as needed
2Force
If robots are equipped with heavy-duty lifting mechanisms, then their payload capacity is improved, but their agility and ability to self-right deteriorates
Solution Approach 1:
The lifting mechanisms are integrated with the dynamic balancing system, allowing the robot to adjust its configuration in real-time. When agility is needed, the system reconfigures to reduce the impact of heavy mechanisms on maneuverability. When payload lifting is the priority, the system stabilizes its configuration to maximize lifting capacity
Solution Approach 2:
The robot uses its dynamic balancing capability to counteract the weight of heavy-duty lifting mechanisms. By actively adjusting its center of gravity and using opposing forces through its balanced platform, the system offsets the negative impact of heavy mechanisms on agility, allowing it to maintain both lifting capacity and maneuverability
3Force
If robots use complex robotic arms for payload manipulation, then their lifting capability is improved, but their vulnerability to damage and complexity of repair increases
Solution Approach 1:
The robotic system is divided into modular segments - the mobile platform, the lifting mechanism, and the payload interface are separate interchangeable components. This segmentation allows the lifting capability to be provided by a dedicated module that can be protected, replaced, or repaired independently from the rest of the robot, reducing overall vulnerability
Solution Approach 2:
The robotic arms and lifting mechanisms are designed with universal interfaces and standardized components that can be easily replaced or upgraded. The same mechanical structures serve multiple functions - lifting, manipulating, and transporting payloads - which simplifies the overall system and reduces the number of specialized parts that could fail
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
The robotic platform achieves enhanced agility and strength to safely lift and transport humans, reducing the risk of further injury and enabling efficient medevac operations, even in complex environments, while maintaining versatility and adaptability for various applications.
Implementation Method 1
equipped with a hydraulic system
Data Source
AI summary
A mobile robot along with a method and system for a mobile robot where the robot is reconfigurable between at least two form factors.