Robotic End Effector Sensor Array for Slip and Misalignment Detection
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Solution Overview
Problem
Conventional single-modality sensors in robotic systems lack the rich sensory feedback necessary for precise object manipulation and recognition, leading to potential accidents and limitations in performing complex assembly processes, as they cannot effectively detect slipping or misalignment of objects.
Innovation Solution
A multimodal sensing architecture that utilizes spatially arrayed superpixels with pressure, vibration, proximity, and temperature sensors on robotic end effectors to provide both static and dynamic event data, enabling the robotic system to identify non-standard operating conditions and implement corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If single-modality pressure sensors are used in robotic end effectors, then the device complexity is reduced, but the measurement precision and reliability of object manipulation are insufficient
Solution Approach 1:
The patent combines multiple sensor modalities (pressure, vibration, temperature, proximity) into integrated superpixel groups that are spatially arrayed on the end effector contact surface. This merging of different sensing functions into unified sensor groups enables comprehensive object manipulation feedback while maintaining a structured, manageable architecture through the superpixel organization.
Solution Approach 2:
Each superpixel group is designed to perform multiple sensing functions simultaneously, detecting pressure, vibration, temperature, and proximity. This multi-functionality allows a single sensor array structure to provide comprehensive sensory feedback for various manipulation tasks, replacing the need for separate single-modality sensor systems.
2Reliability
If single-modality pressure sensors are used, then the device complexity is lower, but the ability to detect slipping and misalignment is insufficient
Solution Approach 1:
The patent merges pressure sensors with vibration sensors within the same superpixel groups, enabling simultaneous detection of static contact forces and dynamic slipping events. The vibration modality specifically detects slipping and misalignment that pressure sensors alone cannot identify, thereby improving grasp reliability without requiring completely separate sensor systems.
3Loss of information
If camera systems are used for feedback, then object recognition capability is improved, but the field of view is occluded by the end effector
Solution Approach 1:
The patent introduces tactile sensors as an intermediary feedback mechanism that directly contacts the object being manipulated. This intermediary sensing approach bypasses the occlusion problem of camera systems by obtaining information through direct physical contact at the end effector-object interface, providing feedback that cameras cannot capture due to field of view limitations.
4Adaptability or versatility
If multimodal sensor arrays are implemented, then the adaptability of object manipulation is improved, but the device complexity increases
Solution Approach 1:
The patent segments the end effector contact surface into discrete superpixel groups, each containing multiple sensor modalities. This segmentation approach organizes the complex multimodal sensor array into manageable, spatially distributed units that can be independently addressed and processed, reducing the overall system complexity while maintaining comprehensive sensing coverage.
Solution Approach 2:
The patent organizes multimodal sensors in the spatial dimension through superpixel grouping, creating a two-dimensional array structure on the end effector surface. This spatial organization adds a dimensional layer to data processing, allowing efficient handling of complex multimodal information through location-based addressing and reducing computational complexity.
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
Enhances the robotic system's ability to adapt to various operational conditions by providing human-like tactile exploration capabilities, preventing accidents and improving the precision of object manipulation and recognition tasks.
Implementation Method 1
The pressure sensor of each superpixel (e.g., a strain gauge, a capacitive pressure sensor or a piezoelectric element) is configured to generate pressure (static event) data in response to an amount of static force applied to the corresponding surface portion
Implementation Method 2
the vibration sensor of each superpixel (e.g., a piezoelectric sensor, a piezoresistive sensor or a MEMS accelerometer) is configured to generate vibration (dynamic event) data in response to mechanical vibrations received at the corresponding surface portion
Implementation Method 3
by using temperature sensors to generate temperature data indicating the amount of thermal energy transferred to multiple corresponding surface portions of the end effector
Data Source
AI summary
A multimodal sensing architecture utilizes an array of single sensor or multi-sensor groups (superpixels) to facilitate advanced object-manipulation and recognition tasks performed by mechanical end effectors in robotic systems. The single-sensors/superpixels are spatially arrayed over contact surfaces of the end effector fingers and include, e.g., pressure sensors and vibration sensors that facilitate the simultaneous detection of both static and dynamic events occurring on the end effector, and optionally include proximity sensors and/or temperature sensors. A readout circuit receives the sensor data from the superpixels and transmits the sensor data onto a shared sensor data bus. An optional multimodal control generator receives and processes the sensor data and generates multimodal control signals that cause the robot system's control circuit to adjust control operations performed by the end effector or other portions of the robot mechanism and when the sensor data indicates non-standard operating conditions.