TRULY COLLABORATIVE ROBOTS

Southie Autonomy is a software startup based at MassRobotics changing the way people interact with collaborative robots. Winner of ABB Robotics Innovation Challenge, we are developing intelligent robotics software to enable high-mix automation by lowering setup time and cost. In short, we aim to help businesses recoup ROI faster by lowering time, cost,
and skill barriers in applications like kitting, palletizing, and simple assembly, through an easy-to-use interface.


AFFORDABLE HIGH-MIX AUTOMATION

We are transforming robotic automation by allowing robots to be told what to do, not how, saving time and money while providing flexibility. We do this through The Wand,
our pointer-based interface that enables a novel interaction paradigm between humans and robots so any user has the flexibility to redeploy the robot for new tasks
in minutes.

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where ARTIFICIAL INTELLIGENCE meets
AUGMENTED REALITY

Our powerful, patent-pending software removes the cumbersome requirements of meticulous design of work cells as well as tedious, expert-level robot programming (for perception, task, control, and motion), so businesses can quickly and cost-effectively deploy and reprogram their robot processes (or workflows) in the order of minutes not days. 

 

JOIN OUR PILOT PROGRAM ON YOUR PRODUCTION FLOOR

SAW is on the right track…. In order to lower cost and skills requirements which will lead to greater cobot adoption, both setup and infrasctructure overhead need to be greatly reduced. Overall productivity will be improved for today’s forward thinkers when they implement flexible systems that involve humans and robots collaborating together.

— Andie Zhang, Global Robotics Product Manager for Collaborative Robots, ABB


[Southie Autonomy is]... providing a solution that lets the manufacturer quickly re-deploy the robot to a new task and new applications in minutes, without needing engineers and programmers, will really fill a need. 

— John Killam, CEO, MassMEP


Southie has taken cutting-edge principles of autonomy and decision-making systems to the real-world, creating a new paradigm for human robot interaction. This breakthrough combines information from human partners with information from the environment to generate reliable physical actions just like autonomous vehicles. Southie has created the most compelling industrial application I’ve seen of using simple gesture-based commands to tell the robot what to do and letting it figure out how." 

— Professor Nicholas Roy, Bisplinghoff Professor of Aeronautics and Astronautics, MIT