Soft Robots for Extreme Environments: Removing Electronic Control

TL;DR

This paper presents a novel electronics-free soft robotic system that uses fluidic logic to achieve locomotion and gripping, enhancing safety and compliance in extreme environments like offshore oil and gas operations.

Contribution

It introduces a fluidic control system with integrated switches and logic, enabling complex behaviors without electronics, suitable for hazardous environments.

Findings

Successfully demonstrated locomotion and gripping using fluidic logic

Developed a fluidic automata with memory and logic functions

Enhanced complexity of soft robots with integrated fluidic control

Abstract

The ignition of flammable liquids and gases in offshore oil and gas environments is a major risk and can cause loss of life, serious injury, and significant damage to infrastructure. Power supplies that are used to provide regulated voltages to drive motors, relays, and power electronic controls can produce heat and cause sparks. As a result, the European Union requires ATEX certification on electrical equipment to ensure safety in such extreme environments. Implementing designs that meet this standard is time-consuming and adds to the cost of operations. Soft robots are often made with soft materials and can be actuated pneumatically, without electronics, making these systems inherently compliant with this directive. In this paper, we aim to increase the capability of new soft robotic systems moving from a one-to-one control-actuator architecture and implementing an electronics-free control system. We have developed a robot that demonstrates locomotion and gripping using three-pneumatic lines: a vacuum power line, a control input, and a clock line. We have followed the design principles of digital electronics and demonstrated an integrated fluidic circuit with eleven, fully integrated fluidic switches and six actuators. We have realized the basic building blocks of logical operation into combinational logic and memory using our fluidic switches to create a two-state automata machine. This system expands on the state of the art increasing the complexity over existing soft systems with integrated control.