Soft Robotics for Chemists

Soft robots: A methodology based on embedded pneumatic networks (PneuNets) is described that enables large-amplitude actuations in soft elastomers by pressurizing embedded channels. Examples include a structure that can change its curvature from convex to concave, and devices that act as compliant grippers for handling fragile objects (e.g., a chicken egg).Chemistry and Chemical Biolog

Challenges for industrial robot applications in food manufacturing

The global food industry is facing many challenges due to the impact of climate change, ever-changing demands by consumers, and increasing legislative pressures by the government, which have resulted in several drivers for changes. Current large scale rigid manufacturing systems are increasingly seen as incapable of supporting the underlining requirements for implementation of such changes. In this context, one of the key requirements is the need for improved flexibility and reconfigurability of production facilities, often provided by adoption of Industrial Robots in other manufacturing sectors. However, despite their recent technological advancements, in particular the advent of the 4th industrial revolution (Industry 4.0), and significant reduction in overall implementation cost over the last two decades, the uptake of industrial robots in food processing has been slow. This paper explores the application of industrial robots in food manufacturing, the benefits of their use and the challenges currently hindering their uptake

Advancing automation and robotics technology for the space station and for the US economy: Submitted to the United States Congress October 1, 1987

In April 1985, as required by Public Law 98-371, the NASA Advanced Technology Advisory Committee (ATAC) reported to Congress the results of its studies on advanced automation and robotics technology for use on the space station. This material was documented in the initial report (NASA Technical Memorandum 87566). A further requirement of the Law was that ATAC follow NASA's progress in this area and report to Congress semiannually. This report is the fifth in a series of progress updates and covers the period between 16 May 1987 and 30 September 1987. NASA has accepted the basic recommendations of ATAC for its space station efforts. ATAC and NASA agree that the mandate of Congress is that an advanced automation and robotics technology be built to support an evolutionary space station program and serve as a highly visible stimulator affecting the long-term U.S. economy

A review of unilateral grippers for meat industry automation

With the expectation that meat consumption will grow by 12% over the next decade, coupled with the reported labour issues and viruses attacking human and animal health, there is a growing requirement for red meat slaughterhouse automation. Changes to current abattoir setups and processes are necessary to realise for sustainable, low-cost and scalable automation. However, to achieve such autonomous nirvana, simple, cost-efficient and robust tooling to support these systems are sought. This includes grippers used to hold, manipulate and transport workpieces, such as primal cuts of red meat, for example, with the simplest type being unilateral gripping systems. Scope and approach This paper critically reviews various unilateral gripping solutions available in cross-industry sectors or developed in research that could be used or adapted for the meat industry. Criteria for such tooling are simplicity, low-cost, durability and robustness, whilst being capable of gripping highly deformable objects of various structures and maintaining safety and hygiene standards. The focus is on air-driven grippers due to their ability to hold high payloads without causing visual and physical damage to the product. Key findings and conclusions Three pneumatic-based unilateral gripper principles, namely Coanda, Bernoulli and Vacuum, are critically reviewed for their feasibility in meat industry automation. In conclusion, the simple vacuum-based system offers the best solution of holding force and low damage thresholds. However, vacuum based design and adaption requires thought for meat surface and structure variance. This will inevitably lead to future experimental research and development work.A review of unilateral grippers for meat industry automationpublishedVersio

Power-Scavenging MEMS Robots

This thesis includes the design, modeling, and testing of novel, power-scavenging, biologically inspired MEMS microrobots. Over one hundred 500-μm and 990-μm microrobots with two, four, and eight wings were designed, fabricated, characterized. These microrobots constitute the smallest documented attempt at powered flight. Each microrobot wing is comprised of downward-deflecting, laser-powered thermal actuators made of gold and polysilicon; the microrobots were fabricated in PolyMUMPs® (Polysilicon Multi-User MEMS Processes). Characterization results of the microrobots illustrate how wing-tip deflection can be maximized by optimizing the gold-topolysilicon ratio as well as the dimensions of the actuator-wings. From these results, an optimum actuator-wing configuration was identified. It also was determined that the actuator-wing configuration with maximum deflection and surface area yet minimum mass had the greatest lift-to-weight ratio. Powered testing results showed that the microrobots successfully scavenged power from a remote 660-nm laser. These microrobots also demonstrated rapid downward flapping, but none achieved flight. The results show that the microrobots were too heavy and lacked sufficient wing surface area. It was determined that a successfully flying microrobot can be achieved by adding a robust, light-weight material to the optimum actuator-wing configuration—similar to insect wings. The ultimate objective of the flying microrobot project is an autonomous, fully maneuverable flying microrobot that is capable of sensing and acting upon a target. Such a microrobot would be capable of precise lethality, accurate battle-damage assessment, and successful penetration of otherwise inaccessible targets

Computer-Based Stereoscopic Parts Recognition for Robotic Applications

Most of robotic handling and assembly operations are based on sensors such as range and touch sensors. In certain circumstances, such as in the presence of ionizing radiation where most customary sensors will degrade over time due to radiation exposure, these sensors won\u27t function properly. Utilizing two or more cameras (stereo vision) located outside the target zone and analyzing their images to identify location and dimensions of parts within the robot workspace is an alternative for using sensors. Object Recognition is affected by the light condition which oftentimes causes the gray-scale or red, green, and blue values to have a relatively small dynamic range. With this small dynamic range, edge detection algorithms fail to detect the proper edges and therefore cause improper image segmentation. To tackle this problem, a transformation on the (r,g,b) values of the pixels is introduced and applied prior to the edge detection and segmentation process. A stereoscopic computer vision system with multiple cameras is then used to compute the distance of the object from the origin of a global Euclidean coordinate system with high resolution. As an application of computer vision, a classifier for testing remote solar panels for cleanness condition, and performing cleaning when necessary, is introduced. A classification algorithm consisting of: the classification vector, the metric used, the training of the classifier, the testing of the classifier, and the classifier is put into play for everyday use. A smart cleaning robot is being designed based on this system to perform the cleaning autonomously when necessary. Another application of computer vision is inspecting the degree of air pollution. A real time classification algorithm that uses a quantization algorithm based on prior calibration is applied to evaluate the quality of air. The intelligent system, based on this algorithm, classifies the air using a numeric system from 1 to 10 which is then transformed to a qualitative scale