Investigating the Design and Manufacture of PneuNet Actuators as a Prosthetic Tongue for Mimicking Human Deglutition

The number of Total Glossectomy cases in the United States is seeing an increasing trend as per the Nationwide Inpatient Sample Database. Patients, who have undergone such aggressive surgical procedures, have extensive limitations performing basic oral functions such as swallowing (deglutition), eating and speaking. Current rehabilitation prostheses do little in restoring the functionality of the original tongue. This is true especially in deglutition, which is necessary to transfer a bolus to the esophagus. Such patients need advanced prosthetic devices and through this research, investigations into potential solutions for prosthetic tongues to aid in deglutition were carried out. The process began with an extensive literature review that provided tongue position, motion, and pressure data during the swallowing stages. Several potential designs were considered such as using linkages and pneumatic networks (PneuNets). Based on a decision matrix, PneuNets were adopted as the foundational basis for generating prosthetic designs. Several prototypes were fabricated using Fused Filament Disposition for mold development and silicone Eco-flex 00-30 for actuator development. Each iteration involved tackling several design and manufacturing challenges especially when scaling these actuators from an initial experiment to an anatomical shape and size of a human tongue. A tongue of dimensions 1.8 inches wide, 2.4 inches long and 0.24 inches thick was developed. The PneuNet actuator was powered by a pneumatic system and kinematic data was collected using a tracking software. The data gathered provided validation comparisons between position trends exhibited in the literature. Theoretical deflection models were generated for analyzing the deflection of the front, middle and back sections of the tongue prototype. Details from literature review, design iterations, simulations, validation processes, research challenges and conclusions will be discussed in depth

The waterbomb actuator: a new origami-based pneumatic soft muscle

This project introduces a new Pneumatic Artificial Muscle (PAM) design based on an origami structure. This artificial muscle is designed to operate at a very low range of pressures while being lightweight and compliant. It is also designed to reduce the pressure threshold and hysteresis problems present on other PAMs like the McKibben actuator. These properties are achieved thanks to a rearranging membrane based on the Waterbomb pattern, which can contract upon inflation while keeping the surface area constant. This concept has been tested using paper prototypes coated with silicone. We created thee different structures (4x8, 6x12 and 8x16 cells waterbomb actuators) from the same paper sheet (14x28cm2) and we actuated them under loads of 2, 4 and 7N. The 4x8 was discarded, but the 6x12 and 8x16 actuators contracted a maximum of 12.5% of the original length (≃10cm) while the operating pressures remained under 5Pa. We also proposed a novel approach to 3D print these actuators using a Stratasys Objet260 Connex3 3D printer. The main idea consists in creating a flat structure that can self-assemble using a technique known as 4D Printing. The pattern is printed as a flat sheet where the hinges are composites composed of an elastomeric material and shape memory polymer (SMP) fibers. These hinges can be activated through a thermomechanical process inducing a self-folding effect. Unfortunately, we were not able to verify this fabrication process due to the lack of material availability

Vision-Based Soft Mobile Robot Inspired by Silkworm Body and Movement Behavior

Designing an inexpensive, low-noise, safe for individual, mobile robot with an efficient vision system represents a challenge. This paper proposes a soft mobile robot inspired by the silkworm body structure and moving behavior. Two identical pneumatic artificial muscles (PAM) have been used to design the body of the robot by sewing the PAMs longitudinally. The proposed robot moves forward, left, and right in steps depending on the relative contraction ratio of the actuators. The connection between the two artificial muscles gives the steering performance at different air pressures of each PAM. A camera (eye) integrated into the proposed soft robot helps it to control its motion and direction. The silkworm soft robot detects a specific object and tracks it continuously. The proposed vision system is used to help with automatic tracking based on deep learning platforms with real-time live IR camera. The object detection platform, named, YOLOv3 is used effectively to solve the challenge of detecting high-speed tiny objects like Tennis balls. The model is trained with a dataset consisting of images of   Tennis balls. The work is simulated with Google Colab and then tested in real-time on an embedded device mated with a fast GPU called Jetson Nano development kit. The presented object follower robot is cheap, fast-tracking, and friendly to the environment. The system reaches a 99% accuracy rate during training and testing. Validation results are obtained and recorded to prove the effectiveness of this novel silkworm soft robot. The research contribution is designing and implementing a soft mobile robot with an effective vision system

HydroDog: A Quadruped Robot Actuated by Soft Fluidic Muscles

This report presents the very first effort aimed to develop a legged terrestrial robot actuated by Hydro Muscles, which are elastic tubes actuated by fluid, constrained by fabric that extend and contract emulating life-like performance of biological muscles. The team designed and manufactured a 30-pound quadruped “dog” using versatile aluminum extrusions and minimally machined components. The team tested and observed a variety of bounding gaits that resulted from different skeletal/muscular geometries and actuation times. These tests yielded varying jump heights and robot forward velocities. Future projects should extensively research optimal leg kinematics to maximize the mechanical power the muscles apply on the robot

A Retrofit Sensing Strategy for Soft Fluidic Robots

Soft robots are intrinsically capable of adapting to different environments by changing their shape in response to interaction forces with the environment. However, sensing and feedback are still required for higher level decisions and autonomy. Most sensing technologies developed for soft robots involve the integration of separate sensing elements in soft actuators, which presents a considerable challenge for both the fabrication and robustness of soft robots due to the interface between hard and soft components and the complexity of the assembly. To circumvent this, here we present a versatile sensing strategy that can be retrofitted to existing soft fluidic devices without the need for design changes. We achieve this by measuring the fluidic input that is required to activate a soft actuator and relating this input to its deformed state during interaction with the environment. We demonstrate the versatility of our sensing strategy by tactile sensing of the size, shape, surface roughness and stiffness of objects. Moreover, we demonstrate our approach by retrofitting it to a range of existing pneumatic soft actuators and grippers powered by positive and negative pressure. Finally, we show the robustness of our fluidic sensing strategy in closed-loop control of a soft gripper for practical applications such as sorting and fruit picking. Based on these results, we conclude that as long as the interaction of the actuator with the environment results in a shape change of the interval volume, soft fluidic actuators require no embedded sensors and design modifications to implement sensing. We believe that the relative simplicity, versatility, broad applicability and robustness of our sensing strategy will catalyze new functionalities in soft interactive devices and systems, thereby accelerating the use of soft robotics in real world applications

HydroDog: A Quadruped Robot Actuated by Soft Fluidic Muscles

This report presents the very first effort aimed to develop a legged terrestrial robot actuated by Hydro Muscles, which are elastic tubes actuated by fluid, constrained by fabric that extend and contract emulating life-like performance of biological muscles. The team designed and manufactured a 30-pound quadruped “dog” using versatile aluminum extrusions and minimally machined components. The team tested and observed a variety of bounding gaits that resulted from different skeletal/muscular geometries and actuation times. These tests yielded varying jump heights and robot forward velocities. Future projects should extensively research optimal leg kinematics to maximize the mechanical power the muscles apply on the robot

HydroDog: A Quadruped Robot Actuated by Soft, Fluidic Muscles

This report presents the very first effort aimed to develop a legged terrestrial robot actuated by Hydro Muscles, which are elastic tubes actuated by fluid, constrained by fabric that extend and contract emulating life-like performance of biological muscles. The team designed and manufactured a 30-pound quadruped “dog” using versatile aluminum extrusions and minimally machined components. The team tested and observed a variety of bounding gaits that resulted from different skeletal/muscular geometries and actuation times. These tests yielded varying jump heights and robot forward velocities. Future projects should extensively research optimal leg kinematics to maximize the mechanical power the muscles apply on the robot

Energy-based approach to develop soft robots

Soft robotic systems offer advantages against rigid robot systems in applications that involve physical robot-human interactions, unstructured or extreme environments, and manipulating delicate objects. Soft robots can offer inherently safe operation and adapt to unknown geometry of the environment or object. The current soft robot development approach is an empirical approach starting from a type of soft actuation technology, whereas the development of rigid robots can start from a top-level task in a System Engineering framework. The rigid robot developer can select from well-defined components to construct the task-orientated system. Soft robots are relatively novel systems compared with rigid robots and do not have well-defined components due to a wide range of soft actuation technologies. The initial choice of soft actuation technology places constraints on the system to perform the task. Soft robotic systems are not widely used despite the advantages compared to rigid robots. In this thesis, I study an abstraction approach to enable a System Engineering framework to develop soft robotic systems. My research focus is on an energy-based approach that encompasses the multi-domain nature of soft robotic systems. The impact on the final system from the energy transfer characteristics of the initial choice of the soft actuator has not been fully explored in the literature. I study how energy, and rate of energy transfer (power), can describe different components of each type of soft actuation and how the total energy can model the top-level system. This thesis includes (i) a literature review of soft robots; (ii) an abstraction approach based on bond-graph theory applied to soft actuation technologies; (iii) a port-Hamiltonian theory to describe the top-level soft robotic system, and (iv) an experimental application of the approach on a type of soft actuation technology. In summary, I explore how energy and rate of energy transfer can provide the abstraction approach and in time provide the well-defined components necessary for task-orientated design approaches in a System Engineering framework. In particular, I applied the approach to soft pneumatic systems for additional insights relevant to the development of future task-orientated soft robotic systems.EPSRC Doctoral Training Centre in Robotics and Autonomous Systems funding

Mobile-manipulating UAVs for Sensor Installation, Bridge Inspection and Maintenance

A parallel mechanism and smart gripper was designed and mounted on a rotorcraft drone to act as a robotic arm and hand. This empowers the drone to perform aerial manipulation and execute bridge maintenance. Hosing, drilling, and epoxying serve as case studies to test-and-evaluation and verify-and-validate the design. The approach, tasks, and findings are presented and show that the case studies are realizable. Conclusions and recommendations point to employing haptics-based human-in-the-loop approaches that can increase the scope of repair work involved in bridge maintenance