Sensible Machines is a spin-off of Carnegie Mellon’s Robotics Institute. After working for years in robotics research, the company’s founders wanted to take their work out of the lab and into the real world. Starting in 2006, Sensible Machines was formed to develop technology for autonomous mowing. Since then, Sensible Machines has been working on automation solutions for applications in agriculture, mining, military, assitive living and energy.
We help our clients solve “real world” problems by leveraging our experience and technology to minimize their business costs and improve the performance of their systems. We work with our clients to find new solutions by using state of the art in robotics, sensing, and data analysis. We design our systems in ways that make them easy to adapt to different platforms.
Sensible Machines uses spiral development, building on mature components with a focus on value proposition. We help reveal the big picture to best address the needs of our Clients. We are platform agnostic and able to integrate disparate robust functionality in variable contexts. We interact with our clients as partners using transparent processes to define the problem and criteria for success
The Sensible Machines team combines decades of experience in robotics.
Stephan Roth, President
Mr. Roth has over eighteen years of engineering experience in applied Robotics, with in-depth knowledge of hardware, software and systems. He has recently led the development, testing, and commercial deployment of several electric and hydraulic autonomous ground vehicles. Currently, he is involved in the design and development of a sensor suite for the DARPA Transformer program to develop a flying car. Before co-founding Sensible Machines with Dr. Singh, he was a Senior Research Programmer at the Robotics Institute, working on projects involving localization and collision avoidance in natural environments. Prior to NREC, he worked at Probotics, Inc., a Pittsburgh-based robotics startup in 1995.
Sanjiv Singh, Ph.D, Chief Technologist
Dr. Singh’s research relates to the operation of robots in natural and in some cases, extreme environments. His recent work has two main themes: perception in natural and dynamic environments, and, multi-agent coordination.
Mobility Platform (MR-800)
Mobility Platform (MR-100)
Yield Estimation using Passive Vision
2-axis laser scanner for aerial survey