Learn how AVs and robotics lay groundwork for field deployments at RoboBusiness
ASI, or Autonomous Solutions Inc., is providing autonomy to existing field equipment. The company is the source for this image. The technology is already proving valuable in mining, agriculture, and construction, where vehicles operate in isolated areas.
Today’s autonomous vehicle fleets are successfully addressing pain points in geographically remote or rugged locations. Every day, the technology improves worker safety and operational efficiency. Mel Torrie, founder and CEO of ASI, predicts the next 10 years will bring a massive leap forward in field robotics.
The use of mobile robotics in outdoor applications is poised to advance significantly over the decade. Outdoor autonomy is moving beyond simple remote control toward integrated robotic systems. This shift requires open architectures and standards that let different machines communicate.
To unlock the next level of productivity, developers must design autonomous vehicles to support that integration and foster collaborative relationships among platforms. This cooperation will be essential for scaling field robotics.
At RoboBusiness, ASI’s Torrie will lead the session “Designing the Robotics Ecosystem for Outdoor Autonomy.”
He will explore why the intersection of autonomous vehicles and advanced robotics will further revolutionize field deployments.
Torrie will also share insights on how building a unified, cooperative ecosystem—where physical robotics seamlessly accompany and work alongside autonomous vehicles—will compound operational benefits. The session will outline how cooperation between platforms can increase efficiency and safety. The roadmap covers technical and operational considerations for deploying robots in the field.
Attendees will gain a strategic roadmap for navigating this shifting landscape. They will learn how the symbiosis of rugged vehicle platforms and intelligent robotics will redefine predictable productivity and safety in the world’s most challenging work environments.