Summary

Résumé de la présentation

"AI and Robotics in Heavy Civil Construction" is set to unveil a compelling vision of the construction industry's future. Bringing together experts in artificial intelligence and robotics, this session will shed light on how cutting-edge technologies are reshaping heavy civil construction. From autonomous machinery and predictive analytics to robotic automation, the panel will showcase how these innovations are enhancing efficiency, safety, and precision on construction sites. Attendees can anticipate valuable insights into the transformative impact of AI and robotics, making construction projects more streamlined and sustainable while adapting to the evolving demands of the industry.

Who's Presenting

Qui présente

Ben Morse

(Moderator)

Advisor - Construction Technology

Advisor - Construction Technology

Biographie

Ben Morse has over a decade of experience in startup sales, team leadership, and construction technology. Ben has crafted strategic alliances between startups and major industry stakeholders. His tenure at Tread was marked by driving market entries, seed and series A fundraising, and cross-functional work with CS, product, and engineering. Ben's skill in bridging the gap between construction stakeholders and new technologies has led him to consult with built world startups, contractors, and material suppliers.

Ben is a former Vice-Chair of Young Construction Leaders in Toronto and has shown a profound dedication to community development and the promotion of innovative practices within the construction industry. His work not only demonstrates a commitment to innovation but also positions him as a vital contributor to Building Transformations. Ben's experience integrating cutting-edge technologies makes him an ideal moderator for today’s discussion on the future of AI and Robotics in construction technology.

"AI and Robotics in Heavy Civil Construction" is set to unveil a compelling vision of the construction industry's future. Bringing together experts in artificial intelligence and robotics, this session will shed light on how cutting-edge technologies are reshaping heavy civil construction. From autonomous machinery and predictive analytics to robotic automation, the panel will showcase how these innovations are enhancing efficiency, safety, and precision on construction sites. Attendees can anticipate valuable insights into the transformative impact of AI and robotics, making construction projects more streamlined and sustainable while adapting to the evolving demands of the industry.

Cynthia Brosque

Product Manager - SafeAI

Cynthia Brosque is a Product Manager at SafeAI, responsible for shaping the Product roadmap and requirements based on an intimate knowledge of our users, their needs, and our technology stack. Cynthia has a Ph.D. from Stanford University where she developed a Robot Evaluation Framework through more than 20 industry case studies. Cynthia is also an Adjunct Lecturer at Stanford teaching CEE 327: Construction Robotics.

Scott Wolslager

Senior Manager Consulting - IMAGINiT

Scott leads a team responsible for understanding manufacturing and AEC customers' business objectives and aligning IMAGINiT's technology solutions and services to those objectives. His professional career spans nearly 30 years, including 20 years with IMAGINiT. Scott has extensive experience helping utilities, departments of transportation, and other organizations across the United States gather requirements, understand challenges, identify solutions, and implement those solutions. He specializes in developing and implementing Autodesk and Bentley engineering and data management software strategies.

Patrick Weber

VP Hardware and Intellectual Property - Advanced Construction Robotics

Patrick A. Weber joined Advanced Construction Robotics in January 2017. Patrick leads the mechanical engineering operations and stewardship of ACR’s intellectual property.  His technical responsibilities include mechatronic architecture, requirements and CONOPS analysis, and electrical systems development.    

Patrick’s technical expertise has been applied to a wide diversity of projects including hardware and software control systems for high voltage power electronics at Siemens Industry, and the concept, prototyping, and field deployment of numerous autonomous robotic technologies at Carnegie Mellon University’s National Robotics Engineering Center (NREC).  These projects include developing machine vision software and electrical systems for an autonomous agricultural harvest sorting machine, systems architecture and electrical system design for an underground autonomous 3D mapping robot, sensor systems integration for CMU’s entry in the DARPA Robotics Challenge (CHIMP), retrofitting multiple vehicles for safe drive-by-wire autonomous control, and leading the technical development of an autonomous pipeline inspection robot.

Patrick obtained a B.S. in Computer Engineering from the Pennsylvania State University and a M.S. in Software Engineering from Drexel University.

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