New Cornell Research On Object Identification Within Enviroments

In Cornell's Personal Robotics Laboratory, a team led by Ashutosh Saxena, assistant professor of computer science, is teaching robots to manipulate objects and find their way around in new environments. The researchers trained a robot by giving it 24 office scenes and 28 home scenes in which they had labeled most objects. The computer examines such features as color, texture and what is nearby and decides what characteristics all objects with the same label have in common. In a new environment, it compares each segment of its scan with the objects in its memory and chooses the ones with the best fit.

 

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ElectroCraft's Motion Control for Mobile Robots

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ElectroCraft is showcasing its award-winning mobile robot technology including their powerful and compact wheel drives, high-torque-density brushless DC motors, precision linear actuators as well as servo motor drive technology at a variety of conferences and tradeshows including the Boston Robotics Summit. Robotics Summit is the premier symposium for the sharing of ideas, technology, and market developments for robotic technologies across industries. Beyond a showcase and pitch of product, ElectroCraft is eager to participate in the collaborative discussion of challenges and opportunities that will shape the near and long-term robotic marketplace.