The company will seek ways to moderate hardware imperfections and track and control robotic tools directly to optimize their motion, independent of the underlying robot mechanism.
Energid Technologies Corporation received funding from the National Science Foundation (NSF) under a two-year project to create robotic manipulation technology for cost-effective manufacturing. The work will make it easy for operators to achieve more with existing hardware capability.
Many time-consuming tedious tasks, such as moving and modifying objects, combining them, and inspecting them, do not require more precision, speed, or strength than what is available with off-the-shelf robots. Instead, they need better control software. Energid has demonstrated technical and market ability to improve the performance of robotic hardware through software, and is now focusing that ability on manufacturing.
The funding is a follow-on grant coming from the successful commercialization of earlier Energid work for the NSF. Under a previous grant, Energid developed grasping and manipulation software that is technically advanced and practical. Energid has received this new funding for manufacturing applications because of its earlier success.
Technology developments under this project will include ways to moderate hardware imperfections and track and control robotic tools directly to optimize their motion, independent of the underlying robot mechanism. This new capability will be leveraged into software for easy control by local and remote human operators.
The results will specifically support hard manufacturing tasks, such as placing through-hole components and assembling intricate parts, giving new labor efficiency in manufacturing.
“Low-cost robotic manufacturing will enable system-wide changes,” said David Askey, Chief Business Development Officer at Energid. “It will allow manufacturing to be done closer to consumers in the U.S., which will lower costs and improve the U.S. manufacturing base.”
Work on the project will be done in Massachusetts, Texas, and Arizona. The project is funded through NSF grant 0848925.
SOURCE: Energid Technologies