Robotics Commons^™

The Story Of Beyoncé: The Roborodentia 2016 Contestant, Brandon Arnold, Mana Kulkarni, Aaron Newberg, Jon Sleep

Computer Engineering

No abstract provided.

Roborodentia Robot: Tektronix, Sean Yap

Computer Engineering

Tektronix is a robot created to compete in the 2016 Roborodentia Competition. This report details the full function and implementation of the robot.

Roborodentia 2016: Scorpion, Tyler Whalen

Computer Engineering

This report showcases my entry into the Roborodentia 2016 competition, and my senior project. I chose this project because robotics has always interested me, and this was a great opportunity to jump in headfirst.

I will step through my design decisions and detail all information necessary for replicating this build.

Roborodentia Xxi Robot, Jose A. Villa

Computer Engineering

This report covers the design and implementation of a robot built to compete in Roborodentia 2016.

Roborodentia Robot (Amazon Prime), Alec Cheung

Computer Science and Software Engineering

Roborodentia is an annual autonomous robotics competition sponsored and hosted by Cal Poly. In the 2016 competition, participants are to design a robot that scores the most points by gathering rings from marked supply pegs and placing them onto marked scoring pegs. For Roborodentia I designed, constructed, and programmed a robot, named Amazon Prime, to compete.

Red Piston (Roborodentia), Gabriel Lee Hernandez, Davie Sy

Computer Science and Software Engineering

Roborodentia is an annual robotics competition held during Cal Poly’s Open House showcase. Teams of one to three people come together to build an autonomous robot to typically collect rings for points. The specifications of the competition will be detailed in the problem statement. For Roborodentia 2016, we built a machine dubbed Red Piston to tackle on this year’s competition. The following report will detail the design process and implementation of our robot.

An Internet Of Things (Iot) Robotic Light Switch, Arsal Habib

Honors Theses

The purpose of this project was to design and build an Internet of Things (IoT) Robotic Light Switch. This light switch would act as a complementary device to existing toggle switches and equip them with typical smart device features such as remote control (via Wi-Fi), digital voice assistant control, motion-sensing and integration with other smart home solutions (such as IFTTT). All these features would be supported by a dedicated web page that would also be able to view the usage statistics of the device. This device is aimed at offering users an extremely easy-to-install home automation solution that needs no …

Control System For 3d Printable Robotic Hand, Htoo Wai Htet

Honors Theses

Humanoid robotics is a growing area of research due to its potential applications in orthosis and prosthesis for human beings. With the currently available technologies, the most advanced robotic hands used in prosthetics or robotics can cost from $11,000 to $90,000, making it inaccessible to the general population of amputees and robotics hobbyists. Most of the features provided by these expensive technologies are superfluous to many users, creating a great gap in cost and services between users and technology. Using the emerging 3D printing technology, my project is to construct a 3D printed robotic hand that can reproduce as many …

A Stroke Therapy Brace Design, Evan Kirkbride

Electrical Engineering

Victims of stroke often have difficulty with rehabilitation. With limited movement on their affected arm, patients often do not want to move much for physical therapy. In this project, we design a robotic brace that helps stroke patients move their arm more effectively in a reaching or pulling motion. By giving patients more movement in their affected arm than they would have otherwise, patients gain more from rehabilitation. The brace also adapts to the patient’s needs, providing more inclination or resistance as needed for their physical therapy. This kind of therapy engages patients rather than relying on their likely dwindled …

3-D Shape Recovery From A Single Camera Image, Vijai Jayadevan, Aaron Michaux, Edward Delp, Zygmunt Pizlo

MODVIS Workshop

3-D shape recovery is an ill-posed inverse problem which must be solved by using a priori constraints. We use symmetry and planarity constraints to recover 3-D shapes from a single image. Once we assume that the object to be reconstructed is symmetric, all that is left to do is to estimate the plane of symmetry and establish the symmetry correspondence between the various parts of the object. The edge map of the image of an object serves as a good representation of its 2-D shape and establishing symmetry correspondence means identifying pairs of symmetric curves in the edge map. The …

A Cyber-Physical System, Andrew Davis, Dustin Bowe, Josiah Nagel

Montview Journal of Research & Scholarship

The team was tasked with the creation of an autonomous cyber-physical system that could be continually developed as a post-capstone class by future STEM students and as a means to teach future engineering students. The strict definition of a cyber-physical system is a computation machine that networks with an embedded computer that performs a physical function. The autonomous aspect was achieved through two sonic sensors to monitor object distances in order to avoid walls and obstacles. The integrated system was based on the Intel Edison computation module. A primary goal for future addition is automation capabilities and machine learning applications.

Efficient Algorithms For Clustering Polygonal Obstacles, Sabbir Kumar Manandhar

UNLV Theses, Dissertations, Professional Papers, and Capstones

Clustering a set of points in Euclidean space is a well-known problem having applications in pattern recognition, document image analysis, big-data analytics, and robotics. While there are a lot of research publications for clustering point objects, only a few articles have been reported for clustering a given distribution of obstacles. In this thesis we examine the development of efficient algorithms for clustering a given set of convex obstacles in the 2D plane. One of the methods presented in this work uses a Voronoi diagram to extract obstacle clusters. We also consider the implementation issues of point/obstacle clustering algorithms.

Robot Detection Using Gradient And Color Signatures, Megan Marie Maher

Honors Projects

Tasks which are simple for a human can be some of the most challenging for a robot. Finding and classifying objects in an image is a complex computer vision problem that computer scientists are constantly working to solve. In the context of the RoboCup Standard Platform League (SPL) Competition, in which humanoid robots are programmed to autonomously play soccer, identifying other robots on the field is an example of this difficult computer vision problem. Without obstacle detection in RoboCup, the robotic soccer players are unable to smoothly move around the field and can be penalized for walking into another robot. …

Inferring Intrinsic Beliefs Of Digital Images Using A Deep Autoencoder, Seok H. Lee

Computer Science and Computer Engineering Undergraduate Honors Theses

Training a system of artificial neural networks on digital images is a big challenge. Often times digital images contain a large amount of information and values for artificial neural networks to understand. In this work, the inference model is proposed in order to absolve this problem. The inference model is composed of a parameterized autoencoder that endures the loss of information caused by the rescaling of images and transition model that predicts the effect of an action on the observation. To test the inference model, the images of a moving robotic arm were given as the data set. The inference …

Selección Y Clasificación De Piezas Mediante Visión De Máquina Utilizando Un Robot Industrial, Laura Julieth Patiño Arévalo, Wilson Alonso Hernández Martínez

Ingeniería en Automatización

Los robots industriales, diseñados para realizar operaciones de forma rápida, precisa y repetidamente tienen una larga tradición en la industria manufacturera, debido a que operan en ambientes relativamente estáticos y en grandes cantidades, sin embargo, el uso de estos en procesos de selección y clasificación conlleva la visión de máquina, la cual aporta a la tarea la información necesaria al procesar una imagen y dar los datos correctos para posterior realización de la tarea. El presente trabajo de grado contiene la implementación de un sistema de visión de máquina para la selección y clasificación de piezas por forma y tamaño …

Representation And Control Of Coordinated-Motion Tasks For Human-Robot Systems, Hyungju Andy Park

Open Access Dissertations

It is challenging for robots to perform various tasks in a human environment. This is because many human-centered tasks require coordination in both hands and may often involve cooperation with another human. Although human-centered tasks require different types of coordinated movements, most of the existing methodologies have focused only on specific types of coordination. This thesis aims at the description and control of coordinated-motion tasks for human-robot systems; i.e., humanoid robots as well as multi-robot and human-robot systems.

First, for bimanually coordinated-motion tasks in dual-manipulator systems, we propose the Extended-Cooperative-Task-Space (ECTS) representation, which extends the existing Cooperative-Task-Space (CTS) representation based …

Learning In Vision And Robotics, Daniel P. Barrett

Open Access Dissertations

I present my work on learning from video and robotic input. This is an important problem, with numerous potential applications. The use of machine learning makes it possible to obtain models which can handle noise and variation without explicitly programming them. It also raises the possibility of robots which can interact more seamlessly with humans rather than only exhibiting hard-coded behaviors. I will present my work in two areas: video action recognition, and robot navigation. First, I present a video action recognition method which represents actions in video by sequences of retinotopic appearance and motion detectors, learns such models automatically …

Flying By Fire: Making Controlled Burns Safer For Humans And Uavs, Rebecca Horzewski, Carrick Detweiler

UCARE Research Products

A temperature sensing circuit board was developed that will allow Nimbus Lab's controlled burn starting UAV to react to the temperatures around it.

“My Logic Is Undeniable”: Replicating The Brain For Ideal Artificial Intelligence, Samuel C. Adams

Senior Honors Theses

Alan Turing asked if machines can think, but intelligence is more than logic and reason. I ask if a machine can feel pain or joy, have visions and dreams, or paint a masterpiece. The human brain sets the bar high, and despite our progress, artificial intelligence has a long way to go. Studying neurology from a software engineer’s perspective reveals numerous uncanny similarities between the functionality of the brain and that of a computer. If the brain is a biological computer, then it is the embodiment of artificial intelligence beyond anything we have yet achieved, and its architecture is advanced …

Human-Robot Versus Human-Human Relationship Impact On Comfort Levels Regarding In Home Privacy, Keith R. Macarthur, Thomas G. Macgillivray, Eva L. Parkhurst, Peter A. Hancock

Keith Reid MacArthur

Development Of An Autonomous Robotic Mushroom Harvester, Nikita Alexeevich Kuchinskiy

Electronic Thesis and Dissertation Repository

The process of development of a new robot is one of the modern technological arts. This process involves multiple complex steps and recursive approach. In this project, a solution for automatic harvesting of mushrooms is developed. In order to design an effective solution, it is necessary to explore and take into consideration the limitations of grasping very soft and fragile objects (particularly mushrooms). We will elaborate several strategies of picking and analyze each strategy to formulate the design requirements, develop a solution, and finally, evaluate the efficiency of the proposed solution in actual farm conditions for real mushrooms. The mushroom …

Application Of Simultaneous Localization And Mapping Algorithms For Haptic Teleoperation Of Aerial Vehicles, Bandar Hulayyil Aldhafeeri

Electronic Thesis and Dissertation Repository

In this thesis, a new type of haptic teleoperator system for remote control of Unmanned Aerial Vehicles (UAVs) has been developed, where the Simultaneous Localization and Mapping (SLAM) algorithms are implemented for the purpose of generating the haptic feedback. Specifically, the haptic feedback is provided to the human operator through interaction with artificial potential field built around the obstacles in the virtual environment which is located at the master site of the teleoperator system. The obstacles in the virtual environment replicate essential features of the actual remote environment where the UAV executes its tasks. The state of the virtual environment …

Implementation Of Algorithms For The Restoration Of Retinal Images, David Samir Toro Hoyos

Ingeniería en Automatización

No abstract provided.

The Role Of Uncertainty In Categorical Perception Utilizing Statistical Learning In Robots, Nathaniel V. Powell

Graduate College Dissertations and Theses

At the heart of statistical learning lies the concept of uncertainty.

Similarly, embodied agents such as robots

and animals must likewise address uncertainty, as sensation

is always only a partial reflection of reality. This

thesis addresses the role that uncertainty can play in

a central building block of intelligence: categorization.

Cognitive agents are able to perform tasks like categorical perception

through physical interaction (active categorical perception; ACP),

or passively at a distance (distal categorical perception; DCP).

It is possible that the former scaffolds the learning of

the latter. However, it is unclear whether DCP indeed scaffolds

ACP in humans and …

Robot Fish Do Not Need Sentience, Antonio Chella

Animal Sentience

The target article by Key (2016) discusses the thesis that fish cannot feel pain because of the lack of the necessary neural structure. This commentary suggests the possibility that fish do not need conscious neural processing by taking into account recent results from biomimetic robotics. State-of-the-art biomimetic robot fish are based on a tight interaction between the body and the environment and are typically controlled by behavior-based architectures. Therefore, it can be hypothesized that cognitive architectures are not needed to control a robot fish. This is in line with the thesis proposed by Key: what biomimetic robot fish show is …

Kinematic Modeling Of An Automated Laser Line Scanning System, Kiran Sunil Deshmukh

Wayne State University Theses

This research work describes the geometric coordinate transformation in an automated laser line scanning system caused by movements required for scanning a component surface. The elements of an automated laser scanning system (robot, laser line scanner, and the component coordinate system) function as a mechanical linkage to obtain a trajectory on a component surface. This methodology solves the forward kinematics, derives the component surface, and uses inverse kinematic equations to characterize the movement of the entire automated scanning system on point trajectory. To reach a point on the component, joint angles of robot have been calculated. As a result, trajectory …

Use Of A Small Unmanned Aerial System For The Sr-530 Mudslide Incident Near Oso, Washington, Robin Murphy, Brittany Duncan, Tyler Collins, Justin Kendrick, Patrick Lohman, Tamara Palmer, Frank Sanborn

School of Computing: Faculty Publications

The Center for Robot-Assisted Search and Rescue deployed three commercially available small unmanned aerial systems (SUASs)—an AirRobot AR100B quadrotor, an Insitu Scan Eagle, and a PrecisionHawk Lancaster—to the 2014 SR-530 Washington State mudslides. The purpose of the flights was to allow geologists and hydrologists to assess the eminent risk of loss of life to responders from further slides and flooding, as well as to gain a more comprehensive understanding of the event. The AirRobot AR100B in conjunction with PrecisionHawk postprocessing software created two-dimensional (2D) and 3D reconstructions of the inaccessible “moonscape” region of the slide and provided engineers with a …

Design And Development Of The Ebear: A Socially Assistive Robot For Elderly People With Depression, Amirhossein Kargarbideh

Electronic Theses and Dissertations

There has been tremendous progress in the field of robotics in the past decade and especially developing humanoid robots with social abilities that can assist human at a socio-emotional level. The objective of this thesis is to develop and study a perceptive and expressive animal-like robot equipped with artificial intelligence in assisting the elderly people with depression. We investigated how social robots can become companions of elderly individuals with depression and improve their mood and increase their happiness and well-being. The robotic platform built in this thesis is a bear-like robot called the eBear. The eBear can show facial expression …

Establishing Performance Guarantees For Behavior-Based Robot Missions Using An Smt Solver, Feng Tang, Damian M. Lyons, Ronald Arkin

Faculty Publications

In prior work we developed an approach to formally representing behavior-based multi-robot programs, and the uncertain environments in which they operate, as process networks. We automatically extract a set of probabilistic equations governing program execution in that environment using a static analysis module called VIPARS, and solve these using a Dynamic Bayesian Network (DBN) to establish whether stated performance guarantees hold for the program in that environment. In this paper we address the challenge of expanding the range of performance guarantees that are possible by using an SMT-solver instead of a DBN. We translate flow functions, which are recursive probabilistic …

Recognizing Pain Using Novel Simulation Technology, Justin C. Grace

Honors Undergraduate Theses

Effective pain management and time to treatment is essential in patient care. Despite scientific evidence supporting the need to treat pain and an emphasis on addressing pain as a priority, pain management continues to be an unresolved issue. As a member of the health care team, nurses are integral to optimal pain management. Currently, nursing schools have limited innovative or alternative methods for teaching pain assessment and management. Simulation in nursing education provides a unique opportunity to expose students to realistic patient situations and allow them to learn and make mistakes without causing harm. However, modern low- and high-fidelity simulation …