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From Curriculum To Career: Analysing The Contribution Of Delft University’S Robotics Msc Programme To The Career Path Of Its Alumni, Gillian Saunders-Smits, Linette Bossen, Joost De Winter

Research Papers

The increasing global demand for robotics expertise led the Delft University of Technology to launch a two-year Master of Science programme in Robotics in 2020. The programme was designed to educate versatile robotics engineers capable of overseeing the entire process from conception of robotics systems to implementation. The curriculum integrates disciplines such as machine perception, artificial intelligence, robot planning and control, human-robot interaction, and ethics, and emphasises personal development through a course called Portfolio, which was later rebranded as Vision and Reflection. The effectiveness of the programme was evaluated by conducting a survey among the first cohort of students. The …

Longboard Classification Using Machine Learning, Tuan (Kevin) Le, Evans Sajtar, Mckenzie Lamb

Annual Student Research Poster Session

There are several techniques a rider can choose from that they can perform being distributed along the long-board ride. This research aims to create a machine-learning model that can efficiently classify these techniques at different periods of time using raw acceleration data. This paper presents the complete workflow of the application. This application involves analytical geometry, multidimensional calculus, and linear algebra and can be used to visualize and normalize time-invariant object paths. This model focuses on displacement data calculated from raw acceleration data and gyro sensor data from a smartphone application called "Physics Toolbox Sensor Suite". We extracted features from …

Robotic Origami Worm, Carter Josef, Michael Freeman, Mohammad Hasan

College of Engineering Summer Undergraduate Research Program

Soft robotics can solve many unique engineering problems. The ancient art of origami has inspired design for a new breed of robots. In this research, a novel fold design was created which has high linear stiffness, high bending stiffness, and the ability to deform omnidirectionally in order to turn. The robot is operated using a DC motor to expand and contract and electromagnets to control friction. The robot moves very quickly compared with many other origami robots in the literature. Other interesting ways to control friction were explored including expansion mechanisms. An origami design was created and tested that expands …

Exploring Cognition And Affect During Human-Cobot Interaction, Angelika T. Canete, Javier Gonzalez-Sanchez, Rafael Guerra Silva

College of Engineering Summer Undergraduate Research Program

Collaborative robots (Cobots) have recently gained popularity due to their capability to work collaboratively with human operators. This collaborative relationship has been named under the robotics discipline of Human-Robot Collaboration (HRC), in which humans and robots work together to accomplish a common task while also being in the same physical space. An important part of collaboration is the human's decision-making, which is largely affected by their affective and cognitive state. A cobot lacks this fundamental understanding of the human operator. In this research, we utilize a server-client program to communicate the affective states of a human user to a Raspberry …

Robotics Team Takes Top Prize In Engineering Competition, Mark D. Weinstein

News Releases

It takes a commitment to be part of Cedarville University’s robotics team that competes each year in the American Society of Engineering Education (ASEE) Robotics competition.

Applications And Perceived Impact Of Artificial Intelligence In Academic Libraries In Nigeria, Uzoamaka Ogwo Ph.D, Francis Ibegbulem, Victor N. Nwachukwu Prof.

Library Philosophy and Practice (e-journal)

This paper expounds the application and perceived impact of Artificial Intelligence (AI) in academic libraries in Nigeria. Libraries especially in developing countries may become moribund in the 21 century unless they begin to harness new, smart and intelligent technologies for improved operations and service delivery. This research adopted a literature-based approach to x-ray the applications and perceived impact of Artificial Intelligence (AI) in academic libraries in Nigeria. Through a systematic analysis and review of literature, the study brought to limelight the current state of AI integration in academic libraries in Nigeria and its possible impact on library services, collections, users, …

Robot Revolution: Impacting Adoption Of The Technology, Cece Noland

MSN Capstone Projects

The author examined the value of robotic guidance platforms in spine surgery, and then implemented an improvement project to positively impact internal (Medtronic employee) adoption of the technology. By promoting adoption, robotics will continue to advance the standard of care for spine surgery patients. This paper is to meet fulfillment of requirements for NURS5382 Capstone.

Prospective On Automation For Omnichannel Services And The Need For New Robotic Solutions For Store Fulfillment Operations, Jennifer Pazour, Manmit Padhy, Georg Fischer, Joyjit Bhowmick, Sebastian Köhler, Gideon Arndt, Kai Furmans

16th Proceedings (Dresden, Germany- 2023)

As businesses offer omnichannel services, such as buy-online-pickup-in-store, more logistical processes need to be conducted within or close to a retail environment. For retailers who adopt a store fulfillment concept, order picking for online orders is conducted inside a store environment and is in addition to the logistic processes required to support in-store customer requests. A store fulfillment approach has the advantage of enabling inventory, labor, infrastructure, and automation to be pooled for online orders, in-store customers, and return processing. Yet, the design and operation of logistical tasks completed in a retail environment is more challenging and requires considering …

Agricultural Research Service Weed Science Research: Past, Present, And Future, Stephen L. Young, James V. Anderson, Scott R. Baerson, Joanna Bajsa-Hirschel, Dana M. Blumenthal, Chad S. Boyd, Clyde D. Boyette, Eric B. Brennan, Charles L. Cantrell, Wun S. Chao, Joanne C. Chee-Sanford, Charlie D. Clements, F. Allen Dray, Stephen O. Duke, Kayla M. Eason, Reginald S. Fletcher, Michael R. Fulcher, Brenda J. Grewell, Erik P. Hamerlynck, Robert E. Hoagland, David P. Horvath, Eugene P. Law, Daniel E. Martin, Clint Mattox, Steven B. Mirsky, Patrick J. Moran, Rebecca C. Mueller, Vijay K. Nandula, Beth A. Newingham, Zhiqiang Pan, Lauren M. Porensky, Paul D. Pratt, Andrew J. Price, Brian G. Rector, Krishna N. Reddy, Roger L. Sheley, Lincoln Smith, Melissa C. Smith, Keirith A. Snyder, Matthew A. Tancos

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

The U.S. Department of Agriculture-Agricultural Research Service (USDA-ARS) has been a leader in weed science research covering topics ranging from the development and use of integrated weed management (IWM) tactics to basic mechanistic studies, including biotic resistance of desirable plant communities and herbicide resistance. ARS weed scientists have worked in agricultural and natural ecosystems, including agronomic and horticultural crops, pastures, forests, wild lands, aquatic habitats, wetlands, and riparian areas. Through strong partnerships with academia, state agencies, private industry, and numerous federal programs, ARS weed scientists have made contributions to discoveries in the newest fields of robotics and genetics, as well …

Adoption Of Artificial Intelligence (Ai) In Library Parlance: Issues And Benefits, Asom Faga Dr, Aliyu Olugbenga Yusuf Dr

Library Philosophy and Practice (e-journal)

That AI has permeated all aspects of human endevour is a statement of fact. Indeed, the applications of AI technology will be the finest technology to give a boost to core sectors and help Nigeria for a fastest digitization. This study on the adoption of artificial intelligence (AI) in library parlance: issues and benefits focuses on the concept of artificial intelligence, artificial intelligence in library operations such as applications of expert systems in reference service, cataloguing, classification, indexing, and acquisition; applications of natural language processing in library activities, application of pattern recognition in library activities, applications of robotics in the …

Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)

Library Philosophy and Practice (e-journal)

Abstract

Purpose: The purpose of this research paper is to explore ChatGPT’s potential as an innovative designer tool for the future development of artificial intelligence. Specifically, this conceptual investigation aims to analyze ChatGPT’s capabilities as a tool for designing and developing near about human intelligent systems for futuristic used and developed in the field of Artificial Intelligence (AI). Also with the helps of this paper, researchers are analyzed the strengths and weaknesses of ChatGPT as a tool, and identify possible areas for improvement in its development and implementation. This investigation focused on the various features and functions of ChatGPT that …

Robotics Planning In Minimally Invasive Surgery For Adult Degenerative Scoliosis: Illustrative Case, Zach Pennington, Nolan J. Brown, Saif Quadri, Seyedamirhossein Pishva, Cathleen C. Kuo, Martin H. Pham

Student Publications

Background: Minimally invasive surgical techniques are changing the landscape in adult spinal deformity (ASD) surgery, enabling surgical correction to be achievable in increasingly medically complex patients. Spinal robotics are one technology that have helped facilitate this. Here the authors present an illustrative case of the utility of robotics planning workflow for minimally invasive correction of ASD.

Observations: A 60-year-old female presented with persistent and debilitating low back and leg pain limiting her function and quality of life. Standing scoliosis radiographs demonstrated adult degenerative scoliosis (ADS), with a lumbar scoliosis of 53°, a pelvic incidence-lumbar lordosis mismatch of 44°, and pelvic …

Integration Of Real-Time Semantic Building Map Updating With Adaptive Monte Carlo Localization (Amcl) For Robust Indoor Mobile Robot Localization, Matthew Peavy, Pileun Kim, Hafiz Oyediran, Kyungki Kim

Durham School of Architectural Engineering and Construction: Faculty Publications

A robot can accurately localize itself and navigate in an indoor environment based on information about the operating environment, often called a world or a map. While typical maps describe structural layouts of buildings, the accuracy of localization is significantly affected by nonstructural building elements and common items, such as doors, appliances, and furniture. This study enhances the robustness and accuracy of indoor robot localization by dynamically updating the semantic building map with non-structural elements detected by sensors. We propose modified Adaptive Monte Carlo Localization (AMCL), integrating object recognition and map updating into the traditional probabilistic localization. With the proposed …

Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design, Astrid Van Der Niet, Cilia Claij, Gillian Saunders-Smits

Practice Papers

In 2020, a new two-year MSc programme in robotics was launched. Unlike most existing robotics programmes, which approach robotics from a specific discipline, this programme aims to train multi-deployable robot generalists using a cognitive approach (no hardware creation). The field of robotics is multidisciplinary by nature and educating students on how to approach projects with a multidisciplinary mindset is at the forefront of the programme. Hence, at the end of the first year, students are thrust into experiencing the true multi-disciplinarity of the robotics field in a synthesizing, multidisciplinary project-based course. In this 5 EC course, students work together in …

Understanding And Quantifying Human Factors In Programming From Demonstration: A User Study Proposal, Shakra Mehak, Aayush Jain, John D. Kelleher, Philip Long, Michael Guilfoyle, Maria Chiara Leva

Conference papers

Programming by demonstration (PbD) is a promising method for robots to learn from direct, non-expert human interaction. This approach enables the interactive transfer of human skills to the robot. As the non-expert user is at the center of PbD, the efficacy of the learned skill is largely dependent on the demonstrations provided. Although PbD methods have been extensively developed and validated in the field of robotics, there has been inadequate confirmation of their effectiveness from the perspective of human teachability. To address this gap, we propose to experimentally investigate the impact of communicating robot learning process on the efficacy of …

Robot-Assisted Resection Of Left Ventricular Papillary Fibroelastoma Arising From The Mitral Chordal Apparatus, Kyle G Mitchell, Blaz Podgorsek, Diego E Fiorito, Juan A Abreu, Danny Ramzy

Journal Articles

The application of robot-assisted thoracoscopy to cardiac surgery affords an opportunity to leverage the exceptional intraoperative exposure, visualization, and dexterity of the robotic platform. Here, we report the case of a 72-year-old woman who presented to our institution for evaluation of a left ventricular mass that was identified following workup for an embolic event. We present an intraoperative video that provides technical details of the robot-assisted resection of the lesion, which was found to be a left ventricular papillary fibroelastoma arising from the mitral chordal apparatus. This case highlights the advantages provided by the robotic platform, which permitted complete, minimally …

Lifelong Deep Learning-Based Control Of Robot Manipulators, Irfan Ganie, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

This study proposes a lifelong deep learning control scheme for robotic manipulators with bounded disturbances. This scheme involves the use of an online tunable deep neural network (DNN) to approximate the unknown nonlinear dynamics of the robot. The control scheme is developed by using a singular value decomposition-based direct tracking error-driven approach, which is utilized to derive the weight update laws for the DNN. To avoid catastrophic forgetting in multi-task scenarios and to ensure lifelong learning (LL), a novel online LL scheme based on elastic weight consolidation is included in the DNN weight-tuning laws. Our results demonstrate that the resulting …

Dna Release From Plant Tissue Using Focused Ultrasound Extraction (Fuse), Alexia Stettinius, Hal Holmes, Qian Zhang, Isabelle Mehochko, Misa Winters, Ruby Hutchison, Adam Maxwell, Jason Holliday, Eli Vlaisavljevich

Journal Articles

PREMISE: Sample preparation in genomics is a critical step that is often overlooked in molecular workflows and impacts the success of downstream genetic applications. This study explores the use of a recently developed focused ultrasound extraction (FUSE) technique to enable the rapid release of DNA from plant tissues for genetic analysis.

METHODS: FUSE generates a dense acoustic cavitation bubble cloud that pulverizes targeted tissue into acellular debris. This technique was applied to leaf samples of American chestnut (

RESULTS: We observed that FUSE can extract high quantities of DNA in 9-15 min, compared to the 30 min required for control …

Integrating Robotics Into Wildlife Conservation: Testing Improvements To Predator Deterrents Through Movement, Stewart W. Breck, Jeffrey T. Schultz, David Prause, Cameron Krebs, Anthony J. Giordano, Byron Boots

United States Department of Agriculture Wildlife Services: Staff Publications

Background Agricultural and pastoral landscapes can provide important habitat for wildlife conservation, but sharing these landscapes with wildlife can create conflict that is costly and requires managing. Livestock predation is a good example of the challenges involving coexistence with wildlife across shared landscapes. Integrating new technology into agricultural practices could help minimize human-wildlife conflict. In this study, we used concepts from the fields of robotics (i.e., automated movement and adaptiveness) and agricultural practices (i.e., managing livestock risk to predation) to explore how integration of these concepts could aid the development of more effective predator deterrents.

Methods …