A Flexible and Robust Large Scale Capacitive Tactile System for Robots (1411.6837v1)

Abstract: Capacitive technology allows building sensors that are small, compact and have high sensitivity. For this reason it has been widely adopted in robotics. In a previous work we presented a compliant skin system based on capacitive technology consisting of triangular modules interconnected to form a system of sensors that can be deployed on non-flat surfaces. This solution has been successfully adopted to cover various humanoid robots. The main limitation of this and all the approaches based on capacitive technology is that they require to embed a deformable dielectric layer (usually made using an elastomer) covered by a conductive layer. This complicates the production process considerably, introduces hysteresis and limits the durability of the sensors due to ageing and mechanical stress. In this paper we describe a novel solution in which the dielectric is made using a thin layer of 3D fabric which is glued to conductive and protective layers using techniques adopted in the clothing industry. As such, the sensor is easier to produce and has better mechanical properties. Furthermore, the sensor proposed in this paper embeds transducers for thermal compensation of the pressure measurements. We report experimental analysis that demonstrates that the sensor has good properties in terms of sensitivity and resolution. Remarkably we show that the sensor has very low hysteresis and effectively allows compensating drifts due to temperature variations.

• The paper introduces a novel tactile sensor design combining a thin 3D fabric with conductive and protective layers to significantly reduce hysteresis and wear.
• The paper demonstrates enhanced sensitivity with performance metrics of 2.50 fF/kPa and 0.86 fF/kPa in distinct pressure ranges, ensuring high resolution and repeatability.
• The paper integrates thermal compensation and leverages clothing industry techniques to simplify production, paving the way for advanced robot applications.

Overview of a Flexible and Robust Large Scale Capacitive Tactile System for Robots

The paper presents an advanced approach to capacitive tactile sensing, delivering a system that promises significant improvements in the field of humanoid robotics. The authors, Maiolino et al., focus on overcoming traditional challenges associated with capacitive tactile sensors, such as hysteresis and sensitivity to environmental conditions, by introducing a new design and material composition.

Technical Contributions

The core innovation in this work is the development of a novel tactile sensor comprising a thin layer of 3D fabric coupled with conductive and protective layers. This new stack replaces the conventional elastomeric dielectric that often results in mechanical wear and performance constraints. The refined architecture not only simplifies production through the adoption of clothing industry techniques but also enhances the mechanical properties, leading to reduced hysteresis and extended durability.

One of the noteworthy technical features is the integration of thermal compensation mechanisms within the sensor system. Implementing transducers designed to isolate and nullify temperature-induced drifts, the authors report considerable precision retention, confirmed by experimental analyses.

Experimental Validation

Extensive experiments demonstrate the sensor's improved performance metrics, particularly in sensitivity and resolution. In the pressure ranges from 2 to 45 kPa and 65 to 160 kPa, the sensors achieve sensitivities of 2.50 fF/kPa and 0.86 fF/kPa, respectively. This performance is exceptionally laudable compared to previous designs utilizing elastomeric dielectrics.

The experimental setup reveals the sensor's adeptness in maintaining low hysteresis—marked by nominal deviations throughout repeated load-unload cycles—and illustrates high repeatability. Furthermore, the spatial resolution tests confirm active overlapping of taxel receptive fields, which may potentially facilitate computational techniques such as hyperacuity in future applications.

Theoretical and Practical Implications

Theoretical advancements reflected in this paper bolster our understanding and capability in designing tactile systems for robotics with enhanced reliability and adaptability. These contributions are crucial for facilitating robot interactions in diverse, real-world environments. Practically, the innovations hold promise for reducing integration complexity and maintenance costs, paving the way for wider adoption of tactile systems in both industrial and humanoid robotics.

Future Directions

This research underscores the importance of robust sensory systems that effectively integrate compensatory measures for environmental variances, such as thermal drift. Future investigations can explore expanding these advancements into varied form factors, integration across different robotic platforms, and enhanced algorithms for data interpretation across sensor networks. The potential for groundbreaking applications in human-robot interaction, particularly in the context of service robots, broadens with such technological strides.

In conclusion, Maiolino et al.'s work contributes significantly to capacitive tactile technology, offering a flexible, efficient, and reliable tactile system. It sets a constructive path for continued research in tactile sensing, presenting opportunities to explore broader applications and further enhancements in sensor performance and robot skin technologies.