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.

 

Featured Product

Elmo Motion Control - The Platinum Line, a new era in servo control

Elmo Motion Control - The Platinum Line, a new era in servo control

Significantly enhanced servo performance, higher EtherCAT networking precision, richer servo operation capabilities, more feedback options, and certified smart Functional Safety. Elmo's industry-leading Platinum line of servo drives provides faster and more enhanced servo performance with wider bandwidth, higher resolutions, and advanced control for better results. Platinum drives offer precise EtherCAT networking, faster cycling, high synchronization, negligible jitters, and near-zero latency. They are fully synchronized to the servo loops and feature-rich feedback support, up to three feedbacks simultaneously (with two absolute encoders working simultaneously). The Platinum Line includes one of the world's smallest Functional Safety, and FSoE-certified servo drives with unique SIL capabilities.