Skip to main content

Future of machine control: collaborative innovation, AI, and connected ecosystems

January 17, 2024

Join Guy Woodford in the Third World Highways Roundtable on Connected Construction as industry leaders explore the future landscape of machine control technologies. Uncover insights from top suppliers like Hexagon and Trimble on the pivotal role of collaboration, the integration of AI, and the importance of connected ecosystems for driving innovation in construction. Discover the bid-to-build process, initiatives to empower small contractors, and the transformative potential of AI in enhancing efficiency and resource optimisation.

Related Content

  • New Trimble research lab at Purdue
    September 28, 2023
    A new Trimble research lab is being established at Purdue University.
  • Innovate, invest, connect: the path to sustainable roads in Europe & Central Asia
    November 26, 2024
    The IRF Global held its second Europe & Centra Asia Congress in Bulgaria.
  • HxGN Live 2014 attracts record event numbers
    August 28, 2014
    Attracting an HxGN Live event record-breaking 3,500 attendees, HxGN Live 2014 held at the MGM Grand in Las Vegas, US, June 2-5 showcased exciting new and in-demand design, measurement and visualisation technologies for industries including road construction and mining. Themed Great Stories Start Here, this year’s event also included a variety of exclusive presentations by industry experts, hands-on training, inspiring keynotes and international networking opportunities. Guy Woodford reports In
  • Machine control innovations
    February 15, 2012
    THE RECENT CONEXPO-CON/AGG exhibition has seen the launch of a wealth of new machine control technologies - Mike Woof reports A fast pace of technological development in the machine control sector is seeing new innovations come to market at regular intervals. The developments remain focussed on the three main technology suppliers to this market, Leica Geosystems, Topcon and Trimble, offereng a combination of systems using machine control based on GPS, total station, sonic units and industrial inertial gu