Deformable Robot Sensors for Tactile Localization and Object Recognition
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Solution Overview
Problem
Robots lack the ability to determine their location within a space accurately due to limited touch sensitivity, often relying on GPS or visual sensors which can be inaccurate in small-scale environments, and struggle to identify objects through contact.
Innovation Solution
The implementation of deformable sensors with a deformable membrane and internal sensors that detect deformation upon contact with objects, allowing the robot to compare the deformation data to a database of known objects to identify the object and determine its location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS sensors or visual sensors are used to determine robot location, then location determination is possible, but accuracy deteriorates in small-scale environments
Solution Approach 1:
The patent replaces GPS and visual sensing systems with a tactile sensing system using deformable sensors. The robot uses its end effector to physically contact objects and surfaces, detecting deformation patterns that encode spatial information. This mechanical substitution enables accurate location determination in small-scale environments where GPS and visual sensors fail, as the tactile feedback provides direct physical measurement of the robot's position relative to environmental features.
2Loss of information
If traditional pressure sensors are used in end effectors, then object contact detection is possible, but object identification capability deteriorates
Solution Approach 1:
The patent employs a deformable membrane as the sensing element in the end effector. This flexible thin film deforms in response to contact with objects, and the deformation pattern is captured by embedded sensors. The membrane's ability to conform to various object shapes while maintaining sensor contact enables comprehensive object information detection (geometry, material properties, location) without requiring a complex array of rigid sensors, thus achieving high information detection with moderate system complexity.
3Stability of the object's composition
If robots use rigid end effectors with limited sensors, then structural stability is maintained, but object manipulation precision deteriorates
Solution Approach 1:
The patent transitions from a rigid end effector to a dynamically adaptable one featuring a deformable membrane. The membrane can change its physical state and configuration based on the object being manipulated, allowing the end effector to optimize its interaction for each specific task. This dynamic capability enables precise object manipulation while the overall robotic system maintains stability through controlled deformation and feedback-based adjustment, resolving the contradiction between rigidity and precision.
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
Enables robots to accurately determine their location and identify objects through tactile sensing, improving navigation and interaction in complex environments by providing a sense of touch and enhancing object recognition.
Implementation Method 1
a deformable sensor including a deformable membrane and an internal sensor. The internal sensor is configured to output a deformation region within the deformable membrane as a result of contact with an object
Data Source
AI summary
Systems and methods for determining a location of a robot are provided. A method includes receiving, by a processor, a signal from a deformable sensor including data with respect to a deformation region in a deformable membrane of the deformable sensor resulting from contact with a first object. The data associated with contact with the first object is compared, by the processor, to details associated with contact with the first object to information associated with a plurality of objects stored in a database. The first object is identified, by the processor, as a first identified object of the plurality of objects stored in the database. The first identified object is an object of the plurality of objects stored in the database that is most similar to the first object. The location of the robot is determined, by the processor, based on a location of the first identified object.