3d Bionic Arm, 2021 CUNY New York City College of Technology
3d Bionic Arm, Anny Baez Silfa
Publications and Research
Previous work had been done on what was an adaptation of a robotic arm for Roboqueen, which is a persistent research project of the Department of Computer Engineering Technology. This robotic arm consisted of removing the cardboard hands from the Roboqueen and being replaced by 3D printed fingers and wrists to add functionality that did not exist before. Servo motors connected to Arduinos hidden in the forearm will be used to move the fingers and pick up and hold objects in the hand. Currently, the Finger Myoware is an update of the robotic arm in order to understand how prosthetic ...
Identification Of Emergent Collaborative Behaviors In Multi-Agent Systems, 2021 University of Tennessee, Knoxville
Identification Of Emergent Collaborative Behaviors In Multi-Agent Systems, Bryson Howell
EURēCA: Exhibition of Undergraduate Research and Creative Achievement
Identification of Emergent Collaborative Behaviors in Multi-Agent Systems
Multi-Agent Reinforcement Learning (MARL) has been used to allow groups of autonomous agents to perform complex cooperative tasks. When MARL methods such as the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm  are used to train teams of agents in cooperative tasks, it has been observed that the actions of individual agents are significantly influenced by the actions of their teammates . Additionally, prior work has shown that teams of agents trained independently of one another under identical conditions display a variety of behaviors . Since these teams have been ...
Rethink Everything 2: Markets, Globalization, Development, 2021 University of Rhode Island
Rethink Everything 2: Markets, Globalization, Development, Nikhilesh Dholakia, Deniz Atik
Markets, Globalization & Development Review
No abstract provided.
Dynamic Task Allocation In Partially Defined Environments Using A* With Bounded Costs, 2021 Embry-Riddle Aeronautical University
Dynamic Task Allocation In Partially Defined Environments Using A* With Bounded Costs, James Hendrickson
PhD Dissertations and Master's Theses
The sector of maritime robotics has seen a boom in operations in areas such as surveying and mapping, clean-up, inspections, search and rescue, law enforcement, and national defense. As this sector has continued to grow, there has been an increased need for single unmanned systems to be able to undertake more complex and greater numbers of tasks. As the maritime domain can be particularly difficult for autonomous vehicles to operate in due to the partially defined nature of the environment, it is crucial that a method exists which is capable of dynamically accomplishing tasks within this operational domain. By considering ...
Robot Object Detection And Locomotion Demonstration For Eecs Department Tours, 2021 University of Tennessee, Knoxville
Robot Object Detection And Locomotion Demonstration For Eecs Department Tours, Bryson Howell, Ethan Haworth, Chris Mobley, Ian Mulet
Chancellor’s Honors Program Projects
No abstract provided.
Automated Bottling Station - Packaging System, 2021 Murray State University
Automated Bottling Station - Packaging System, Lauren Nicole Zinzilieta
Honors College Theses
This report focuses on the packaging system used at the end of the FESTO bottling station that is located in EP 2355. The system will be made up of an x-y 300 mm x 300 mm gantry system, an Arduino, two micro-stepping stepper drivers, and two 152.4 mm (6 in) single acting cylinders with a 3D printed bracket attached to both. The gantry system will be located at the end of the conveyor belt and will be programmed to pick up three bottles at a time and then will move a specified number of steps in both the x ...
A Study Of Deep Reinforcement Learning In Autonomous Racing Using Deepracer Car, 2021 University of Mississippi
A Study Of Deep Reinforcement Learning In Autonomous Racing Using Deepracer Car, Mukesh Ghimire
Reinforcement learning is thought to be a promising branch of machine learning that has the potential to help us develop an Artificial General Intelligence (AGI) machine. Among the machine learning algorithms, primarily, supervised, semi supervised, unsupervised and reinforcement learning, reinforcement learning is different in a sense that it explores the environment without prior knowledge, and determines the optimal action. This study attempts to understand the concept behind reinforcement learning, the mathematics behind it and see it in action by deploying the trained model in Amazon's DeepRacer car. DeepRacer, a 1/18th scaled autonomous car, is the agent which ...
Project Blipper, 2021 Kennesaw State University
Project Blipper, Peter Jacobs, Preston Delaware, Ryan Foster
Senior Design Project For Engineers
This project was sponsored by Clorox to design and create an automatic bottle-unscrambling system for possible implementation at their bottling plant in Chile. The objective was to use a robotic arm to unscramble bottles from an incoming conveyor belt and place them upright on an outbound conveyor belt. Throughout the research, design, and testing of solutions for this project, several design alternatives were found for each discipline, and will be presented to Clorox so that they can make an informed decision for how and if they want to move forward with implementation of this project.
The project was split into ...
Owsnet: Towards Real-Time Offensive Words Spotting Network For Consumer Iot Devices, 2021 Confirm SFI Centre for Smart Manufacturing, Data Science Institute, NUI Galway, Ireland
Owsnet: Towards Real-Time Offensive Words Spotting Network For Consumer Iot Devices, Bharath Sudharsan, Sweta Malik, Peter Corcoran, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali
Every modern household owns at least a dozen of IoT devices like smart speakers, video doorbells, smartwatches, where most of them are equipped with a Keyword spotting(KWS) system-based digital voice assistant like Alexa. The state-of-the-art KWS systems require a large number of operations, higher computation, memory resources to show top performance. In this paper, in contrast to existing resource-demanding KWS systems, we propose a light-weight temporal convolution based KWS system named OWSNet, that can comfortably execute on a variety of IoT devices around us and can accurately spot multiple keywords in real-time without disturbing the device's routine functionalities ...
Cognitive Digital Twins For Smart Manufacturing, 2021 Dublin City University
Cognitive Digital Twins For Smart Manufacturing, Muhammad Intizar Ali, Pankesh Patel, John G. Breslin, Ramy Harik, Amit Sheth
Smart manufacturing or Industry 4.0, a trend initiated a decade ago, aims to revolutionize traditional manufacturing using technology-driven approaches. Modern digital technologies such as the Industrial Internet of Things (IIoT), Big Data Analytics, Augmented/Virtual Reality, and Artificial Intelligence (AI) are the key enablers of new smart manufacturing approaches. The digital twin is an emerging concept whereby a digital replica can be built of any physical object. Digital twins are becoming mainstream; many organizations have started to rely on digital twins to monitor, analyze, and simulate physical assets and processes. The current use of digital twins for smart manufacturing ...
Human-Machine Communication: Complete Volume. Volume 2, 2021 University of Central Florida
Human-Machine Communication: Complete Volume. Volume 2
This is the complete volume of HMC Volume 2.
Social Robots As The Bride? Understanding The Construction Of Gender In A Japanese Social Robot Product, 2021 The Chinese University of Hong Kong
Social Robots As The Bride? Understanding The Construction Of Gender In A Japanese Social Robot Product, Jindong Liu
This study critically investigates the construction of gender on a Japanese hologram animestyle social robot Azuma Hikari. By applying a mixed method merging the visual semiotic method and heterogeneous engineering approach in software studies, the signs in Azuma Hikari’s anthropomorphized image and the interactivity enabled by the multimedia interface have been analyzed and discussed. The analysis revealed a stereotyped representation of a Japanese “ideal bride” who should be cute, sexy, comforting, good at housework, and subordinated to “Master”-like husband. Moreover, the device interface disciplines users to play the role of “wage earner” in the simulated marriage and reconstructs ...
Forms And Frames: Mind, Morality, And Trust In Robots Across Prototypical Interactions, 2021 Texas Tech University
Forms And Frames: Mind, Morality, And Trust In Robots Across Prototypical Interactions, Jaime Banks, Kevin Koban, Philippe De V. Chauveau
People often engage human-interaction schemas in human-robot interactions, so notions of prototypicality are useful in examining how interactions’ formal features shape perceptions of social robots. We argue for a typology of three higher-order interaction forms (social, task, play) comprising identifiable-but-variable patterns in agents, content, structures, outcomes, context, norms. From that ground, we examined whether participants’ judgments about a social robot (mind, morality, and trust perceptions) differed across prototypical interactions. Findings indicate interaction forms somewhat influence trust but not mind or morality evaluations. However, how participants perceived interactions (independent of form) were more impactful. In particular, perceived task interactions fostered functional ...
Moving Ahead With Human-Machine Communication, 2021 University of Udine
Moving Ahead With Human-Machine Communication, Leopoldina Fortunati, Autumn P. Edwards
In this essay, we introduce the 10 articles comprising Volume 2 (2021) of Human-Machine Communication, each of which is innovative and offers a substantial contribution to the field of human-machine communication (HMC). As a collection, these articles move forward the HMC project by touching on four layers of important discourse: (1) updates to theoretical frameworks and paradigms, including Computers as Social Actors (CASA), (2) examination of ontology and prototyping processes, (3) critical analysis of gender and ability/disability relations, and (4) extension of HMC scholarship into organizational contexts. Building upon the insights offered by the contributing authors and incorporating perspectives ...
Administrative Law In The Automated State, 2021 University of Pennsylvania Law School
Administrative Law In The Automated State, Cary Coglianese
Faculty Scholarship at Penn Law
In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet longstanding administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law’s core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated ...
Assistive Robotics And Their Uses During The Pandemic, 2021 Southwestern Oklahoma State University
Assistive Robotics And Their Uses During The Pandemic, Thomas Klassen, Jeremy Evert
• “Assistive Robotics” defines any device that can sense, process sensory information, and perform actions that benefit people with disabilities.
• This form of technology can be used on a much higher scale with a greater number of uses.
• We have an opportunity to expand the usage of assistive robotics to help combat COVID-19.
A Comprehensive Mapping And Real-World Evaluation Of Multi-Object Tracking On Automated Vehicles, 2021 Embry-Riddle Aeronautical University
A Comprehensive Mapping And Real-World Evaluation Of Multi-Object Tracking On Automated Vehicles, Alexander Bassett
PhD Dissertations and Master's Theses
Multi-Object Tracking (MOT) is a field critical to Automated Vehicle (AV) perception systems. However, it is large, complex, spans research fields, and lacks resources for integration with real sensors and implementation on AVs. Factors such those make it difficult for new researchers and practitioners to enter the field.
This thesis presents two main contributions: 1) a comprehensive mapping for the field of Multi-Object Trackers (MOTs) with a specific focus towards Automated Vehicles (AVs) and 2) a real-world evaluation of an MOT developed and tuned using COTS (Commercial Off-The-Shelf) software toolsets. The first contribution aims to give a comprehensive overview of ...
Distance-Based Formation Control Using Decentralized Sensing With Infrared Photodiodes, 2021 Louisiana State University
Distance-Based Formation Control Using Decentralized Sensing With Infrared Photodiodes, Steven Williams
LSU Master's Theses
This study presents an onboard sensor system for determining the relative positions of mobile robots, which is used in decentralized distance-based formation controllers for multi-agent systems. This sensor system uses infrared photodiodes and LEDs; its effective use requires coordination between the emitting and detecting robots. A technique is introduced for calculating the relative positions based on photodiode readings, and an automated calibration system is designed for future maintenance. By measuring the relative positions of their neighbors, each robot is capable of running an onboard formation controller, which is independent of both a centralized controller and a global positioning-like system (e ...
On The Impact Of Gravity Compensation On Reinforcement Learning In Goal-Reaching Tasks For Robotic Manipulators, 2021 University of Kentucky
On The Impact Of Gravity Compensation On Reinforcement Learning In Goal-Reaching Tasks For Robotic Manipulators, Jonathan Fugal, Hasan A. Poonawala, Jihye Bae
Electrical and Computer Engineering Faculty Publications
Advances in machine learning technologies in recent years have facilitated developments in autonomous robotic systems. Designing these autonomous systems typically requires manually specified models of the robotic system and world when using classical control-based strategies, or time consuming and computationally expensive data-driven training when using learning-based strategies. Combination of classical control and learning-based strategies may mitigate both requirements. However, the performance of the combined control system is not obvious given that there are two separate controllers. This paper focuses on one such combination, which uses gravity-compensation together with reinforcement learning (RL). We present a study of the effects of gravity ...
Toward Intelligent Welding By Building Its Digital Twin, 2021 University of Kentucky
Toward Intelligent Welding By Building Its Digital Twin, Qiyue Wang
Theses and Dissertations--Electrical and Computer Engineering
To meet the increasing requirements for production on individualization, efficiency and quality, traditional manufacturing processes are evolving to smart manufacturing with the support from the information technology advancements including cyber-physical systems (CPS), Internet of Things (IoT), big industrial data, and artificial intelligence (AI). The pre-requirement for integrating with these advanced information technologies is to digitalize manufacturing processes such that they can be analyzed, controlled, and interacted with other digitalized components. Digital twin is developed as a general framework to do that by building the digital replicas for the physical entities. This work takes welding manufacturing as the case study to ...