Please enable javascript. Learn more... Internet Explorer | Firefox | Chrome | Safari
ASME is built with the most modern web standards, which give you a better & more reliable experience.
Conference Sept 30 - Oct 3, 2018
We are planning an exciting conference this fall and look forward to seeing you in Atlanta!
As you may know, this year we have five workshops being offered in the afternoon on Sunday, September 30, 2018. We very much hope you consider them and choose to register and attend one. Early bird registration ($75) ends on August 20, after which the price increases to $100.
Please note that the conference registration system, run by Orchid, unfortunately does not allow you to go back in and add a workshop to your registration if you did not select one when you registered. Not to worry, though! There is a simple workaround should you like to add one now. Simply send an e-mail to asme@orchid.events, letting them know which workshop you would like to add. The staff will then help you from that point.
All workshops will be held on Sunday, September 30, 2018
Organizers Annalisa Scacchioli, Assistant Professor, Rutgers University Mahdi Shahbakhti, Associate Professor, Michigan Technological University
Speakers Dr. Prabir Barooah, Associate Professor, University of Florida (pbarooah@ufl.edu) Dr. John-Paul B. Clarke, Dean’s Professor, Georgia Institute of Technology, (johnpaul@gatech.edu) Dr. Rahul Mangharam, Associate Professor, University of Pennsylvania (rahulm@seas.upenn.edu) Dr. Hamidreza Modares, Assistant Professor, Michigan State Univeristy (modaresh@msu.edu) Dr. Javad Mohammadpour, Associate Professor, University of Georgia (javadm@uga.eduj) Dr. Manish Parashar, Distinguished Professor, Rutgers University (parashar@rutgers.edu)
Workshop abstract The design and control of next-generation of automotive and aerospace vehicles requires innovations in computational methods involving the role of big data in modeling and decisions. This workshop presents leading researchers working on various aspects of data analytics, including data management, data- driven modeling, machine learning, and control with applications to aerospace, driverless vehicles, human-machine interactions, and power grids. The future directions of data science and control engineering important to the mechanical engineering community will be emphasized in this workshop.
Workshop topics and outline
Outline and timing of topics covered (1-5pm)
Time: Topic: Presenter:
1:00-1:05pm Welcome and Workshop Introduction Dr. Annalisa Scacchioli
Time: Topic: Speaker:
1:05-1:40 pm Computational and Data-Enabled Science and Engineering Dr. Manish Parashar
1:40-2:15 pm A Driver’s License Test for Driverless Vehicles Dr. Rahul Mangharam
2:15-2:50pm Data-driven State-Space LPV Model Identification using Machine Learning with Applications in Robotics Dr. Javad Mohammadpour
Time: Topic:
2:50-3:10 pm Break
3:10-3:45 pm Data-driven Identification and Prediction for Optimization-based Predictive Control for Smart Building Dr. Prabir Barooah
Time: Topic: Presenters:
3:45-4:20 pm Resilient Autonomous Decision Making in Multi-agent Cyber-physical Systems Dr. Hamidreza Modares
4:20-4:55 pm Aerospace Analytics Dr. John-Paul B. Clarke
4:55-5:00 pm Discussion and Workshop Conclusion Dr. Annalisa Scacchioli and Dr. Mahdi Shahbakhti
Organizers Anirban Mazumdar, Assistant Professor, Georgia Institute of Technology Aaron Young, Assistant Professor, Georgia Institute of Technology
Workshop abstract The interplay between energy and performance is particularly critical for mobile and human-worn systems that must carry their own energy supply (battery). There is an inherent trade-off between increasing performance capabilities of many robots and energetic cost. For example, low endurance can restrict the ability to perform many tasks, while a large battery can restrict performance through added weight and size. Minimizing energy consumption while maintaining high levels of functionality requires a multi-disciplinary approach. Actuator dynamics, drivetrain selection, gait control approaches, interface dynamics and harvesting capacity all influence the overall energetic performance of autonomous systems. Mobility itself may present new opportunities and recent works have shown how platooning or flocking strategies can increase vehicle range. Similarly, new studies have demonstrated the promise of using mobile systems that can optimize their location for harvesting energy from time and spatially varying flows. Wearable robots often have a dual and often competing objective function in terms of improving energetic economy of not only the robot but also the human operator. This frontier session seeks to advance knowledge and collaboration in this growing field by bringing together experts from legged robotics, prosthesis, exoskeletons, novel actuators, and energy harvesting.
Organizers
Mahdi Shahbakhti, Associate Professor, Michigan Technological University Hosam Fathy, Associate Professor, Pennsylvania State University Presenters Ardalan Vahidi, Professor, Clemson University Sean Brennan, Professor, Pennsylvania State University Scout Moura, Assistant Professor, University of California, Berkeley Andreas Malikopoulos, Associate Professor, University of Delaware Greg Shaver, Professor, Purdue University Chen-Fang Chang, Lab Group Manager, Propulsion Control Systems Group, GM Global R&D Marcello Canova, Associate Professor, The Ohio State University Bo Chen, Associate Professor, Michigan Technological University Junmin Wang, Professor, University of Texas, Austin Anna Stefanopoulou, Professor, University of Michigan Chris Vermillion, Assistant Professor, University of North Carolina at Charlotte Zongxuan Sun, Professor, University of Minnesota Mr. Hotz, Southwest Research Institute’s Ann Arbor Technical Center Pierluigi Pisu, Associate Professor, Clemson University Giorgio Rizzoni, Professor, The Ohio State University Jing Sun, Professor, University of Michigan
Workshop abstract The automotive industry is undergoing major changes, with substantial growth in the areas of autonomy and connectivity. By 2021, the majority of vehicles sold in US will be connected vehicles. In addition, different automotive OEMs have launched large-scale programs for deploying autonomous vehicles (ranging from L2 to L5) on the road over the next 10 years. Connected and autonomous vehicles (CAVs) reduce traffic congestion, improve mobility, and decrease vehicular energy consumption. To realize these benefits, integrated vehicle controls, including both vehicle dynamics and powertrain (VD&PT) control, eco-routing, and transportation analytics are required. Future CAVs call for advanced control and real-time energy-efficiency optimization methods. Some of major CAV challenges include: the development of computationally-efficient VD&PT control and optimization methods, virtual sensing and data construction, V2X (vehicle to vehicle, infrastructure, etc.), cyber security, real-time traffic data mining, diagnosis and fault tolerance. This workshop aims to discuss the CAV opportunities, challenges, and present some of the recent developments in the areas of controls, dynamical analysis, fault diagnosis, communication, cyber security, and traffic management of CAVs.
Organizers Vikram Kapila, Professor, New York University Michael A. Gennert, Professor, Worcester Polytechnic Institute James Mynderse, Assistant Professor, Lawrence Technological University Nima Lotfi, Assistant Professor, Southern Illinois University Edwardsville
Workshop abstract Mechatronics and Robotics are experiencing tremendous, dynamic growth owing to recent advances in integrated circuits and electronics, embedded systems and computers, networks, and intelligent system as well as democratization of access through open source hardware/software, and Maker movement. Mechatronics and Robotics engineers are shaping the world by designing smart and autonomous systems and processes that can improve human life and welfare. Such engineers require an interdisciplinary knowledge of mechanical, electrical, computer, software, and systems engineering to oversee the entire design and development process. To address the needs of industry for trained individuals in this field, many universities and colleges have introduced courses, minors, and degree programs. Furthermore, numerous experimental platforms have been developed and utilized to provide engaging, hands-on experiences to students; however, these efforts lack cohesion. Now is the time to unify and standardize educational material, including frameworks, curricula, course outlines, experiments, and assignments to make Mechatronics and Robotics education more widely available.
The objectives of this workshop are to bring together industry and academic professionals in Mechatronics and Robotics, share experiences, and initiate efforts towards defining the field. We aim to encourage and facilitate the wide adoption of Mechatronics and Robotics degree programs. Workshop participants will learn about recent successes in offering these degrees, help influence the future of the field, and contribute to the growing Mechatronics and Robotics education community. This workshop will benefit a wide range of DSCC participants including educators teaching mechatronics, robotics, dynamics, and control courses; PhD students seeking academic careers in mechatronics and robotics; and industry professionals desiring to shape the future workforce.
Organizer Cornel Sultan, Associate Professor, Virginia Tech
Workshop abstract Autonomous operation of rotorcraft will greatly expand the range of achievable missions and operational envelopes. Autonomy is enabled by a multidisciplinary approach in which advanced feedback control plays a central role. This workshop discusses critical needs and challenges related to autonomy and control design for rotorcraft, along with recent contributions.
Highly constrained autonomous rotorcraft missions demand increasingly complex control models which capture the dynamics associated with mission requirements. Novel control technologies enable a larger space for control variables and improved control authority beyond what is typically achieved by conventional rotorcraft controls. Modern control in rotorcraft control is necessary to adequately handle the highly coupled large models and multiple objectives associated with complex missions. In this context, the current and future trend in rotorcraft design and control is towards integration of complex models and control designs.
By bringing together students and professionals from diverse related areas such as dynamics, control, structures, system design, computations, the workshop is expected to foster interdisciplinary cooperation. The workshop will educate the audience about challenges, solutions, future directions in rotorcraft autonomy, along with ramifications in other areas such as turbomachinery and turbine control, in which the presenter is also active. It will also illustrate how knowledge from different fields can be leveraged to address complex problems.