A LOW-COST PROTOTYPING PLATFORM FOR IoT DEVICE DEVELOPMENT AND ROBOTICS

AbstractThe article presents the possibilities of using easily accessible and inexpensive educational sets in scientific research and the process of robotics education. Such kits allow the exploration of theoretical and practical knowledge taking into account aspects of engineering, such as: mechanics, drive systems, sensor systems, control and programming of robots. Models of robots built from inexpensive components can also be used to test new solutions in the field of construction or control algorithms before they are used in real applications. As an example, the model of the palletizing manipulator for self-assembly was shown, the control of which was based on the Arduino Uno controller, while the drives were implemented using low-cost hobby-grade servos. For the kinematic structure of this manipulator, the forward and inverse kinematics task for the position has been discussed. This constituted the basis for the development of a manual control algorithm implemented in the controller – using a joystick and programmed – based on the data sent to the controller using serial communication from a PC. The article presents the results of the computer simulation of the manipulator kinematics, the hardware and software implementation of the robot model and the effects of its operation. The possibility of expanding the control system with additional elements to increase its functionality was indicated.

Download Full-text

Computer vision and robotics techniques in fish farms

Robotica ◽

10.1017/s0263574702004733 ◽

2003 ◽

Vol 21 (3) ◽

pp. 233-243 ◽

Cited By ~ 42

Author(s):

J. R. Martinez-de Dios ◽

C. Serna ◽

A. Ollero

Keyword(s):

Computer Vision ◽

Stereo Vision ◽

Low Cost ◽

Fish Farm ◽

Weight Estimation ◽

Fish Farms ◽

Fish Feeding ◽

Fish Weight ◽

Processing Algorithms ◽

And Robotics

This paper presents new low-cost systems for the automation of some fish farm operations. Particularly, computer vision is applied to non-contact fish weight estimation. Stereo vision systems with synchronised convergent cameras are employed to perform fish 3-D segmentation in tanks and sea cages. Several pre-processing algorithms are applied to compensate for illumination local variations. The approach applied for fish 3-D segmentation consists in detecting in both images certain fish features. Once these points have been detected and validated in both images, the fish are 3-D segmented by applying stereo vision matching considerations. Fish weight is estimated by using simple length-weight relations well known in the aquaculture domain. The paper also briefly describes robotics systems for fish feeding and underwater pond cleaning, which can be also used to implement the above mentioned computer vision techniques for the fish estimation.

Download Full-text

Come together: bioelectric healing-on-a-chip

10.1101/2020.12.29.424578 ◽

2020 ◽

Author(s):

Tom J. Zajdel ◽

Gawoon Shim ◽

Daniel J. Cohen

Keyword(s):

Wound Healing ◽

Cost Model ◽

Low Cost ◽

Experimental System ◽

Model Systems ◽

Device Development ◽

Wound Healing Response ◽

Field Geometry ◽

On Chip

AbstractThere is a growing interest in bioelectric wound treatment and electrotaxis, the process by which cells detect an electric field and orient their migration along its direction, has emerged as a potential cornerstone of the endogenous wound healing response. Despite recognition of the importance of electrotaxis in wound healing, no experimental system to date demonstrates that the actual closing of a wound can be accelerated solely by the electrotaxis response itself, and in vivo systems are too complex to resolve cell migration from other healing stages such as proliferation and inflammation. This uncertainty has led to a lack of standardization between stimulation methods, model systems, and electrode technology required for device development. In this paper, we present a ‘healing-on-chip’ approach that is a standardized, low-cost, model for investigating electrically accelerated wound healing. Our device provides the first convergent field geometry used in a stimulation device. We validate this device by using electrical stimulation to close a 1.5 mm gap between two large (30 mm2) primary skin keratinocyte layers to double the rate of healing over an unstimulated tissue. This proves that convergent electrotaxis is both possible and can accelerate healing, and offers a new ‘healing-on-a-chip’ platform to explore future bioelectric interfaces.

Download Full-text

Silicon-on ceramic process. Silicon sheet growth and device development for the large-area silicon sheet and cell development tasks of the low-cost solar array project. Quarterly report No. 12, April 2, 1979-June 29, 1979

10.2172/5398408 ◽

1979 ◽

Author(s):

P.W. Chapman ◽

J.D. Zook ◽

J.D. Heaps ◽

B.L. Grung ◽

B. Koepke ◽

...

Keyword(s):

Low Cost ◽

Cell Development ◽

Solar Array ◽

Large Area ◽

Device Development ◽

Ceramic Process ◽

Silicon Sheet ◽

Development Tasks

Download Full-text

Results Of Using A Low Cost, Flexible Robot In A Microcontrollers And Robotics Course

10.18260/1-2--3138 ◽

2020 ◽

Author(s):

Abraham Howell ◽

Richard Eckert ◽

Roy McGrann

Keyword(s):

Low Cost ◽

Flexible Robot ◽

And Robotics

Download Full-text

Surgical Robots

Prototyping of Robotic Systems - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-4666-0176-5.ch010 ◽

2012 ◽

pp. 288-326 ◽

Cited By ~ 3

Author(s):

Tamás Haidegger

Keyword(s):

Information Technology ◽

Medical Device ◽

Surgical Robots ◽

Minimal Invasiveness ◽

Device Development ◽

Current Trends ◽

International Projects ◽

Robotic Devices ◽

Interventional Medicine ◽

And Robotics

Information technology and robotics have been integrated into interventional medicine for over 25 years. Their primary aim has always been to provide patient benefits through increased precision, safety, and minimal invasiveness. Nevertheless, robotic devices should allow for sophisticated treatment methods that are not possible by other means. Several hundreds of different surgical robot prototypes have been developed, while only a handful passed clearance procedures, and was released to the market. This is mostly due to the difficulties associated with medical device development and approval, especially in those cases when some form of manipulation and automation is involved. This chapter is intended to present major aspects of surgical robotic prototyping and current trends through the analysis of various international projects. It spans across the phases from system planning, to development, validation, and clearance.

Download Full-text

The M1: A Custom Mechatronics Platform for Robotics Education

Volume 2: 34th Annual Mechanisms and Robotics Conference, Parts A and B ◽

10.1115/detc2010-29136 ◽

2010 ◽

Author(s):

Jonathan P. Fiene

Keyword(s):

Data Storage ◽

Flash Memory ◽

Low Cost ◽

General Purpose ◽

Educational Institutions ◽

Embedded Computing ◽

Analog To Digital ◽

Analog To Digital Conversion ◽

Computing Module ◽

And Robotics

This paper presents the details of a compact embedded-computing module designed to meet a variety of pedagogical objectives within mechatronics, controls, and robotics. Built around an ATmega32U4 microcontroller, the 1.8 × 4.0 centimeter module has flash memory for program and data storage, 25 general-purpose input/output lines, four timer/counters, 12 channels of 10-bit analog-to-digital conversion, and support for a variety of serial communications protocols, including USB. The unit adapts easily to a solderless breadboard for quick prototyping, and requires only an external 5-volt power source for operation. Furthermore, it can be programmed directly over a USB connection to a computer, thereby eliminating the need for a separate programming device. As a member of the AVR family of microcontrollers, the development tools for the processor are freely available for Windows, Mac, and Linux. When assembled in sufficient quantity, the part cost for each module is approaching $10US, making it a low-cost solution for a variety of tasks. To enable students and professors to explore both the module and the host of application principles, we have chosen to post the design files and documentation on a publicly-accessible wiki, leaving room for collaborative improvements and the sharing of technology with other educational institutions.

Download Full-text