When it comes to part-picking robots, they're typically programmed to grasp a specific object in a specific fashion – such as a car part on an assembly line. Scientists from MIT and Princeton University, however, have developed a system that allows robots to grab random objects from a bin, then identify what the objects are and where they should go.
.. Continue Reading Robotic picking arm isn't thwarted by clutter
Category: Robotics
Tags:
- Machine Learning
- MIT
- Princeton University
- Princeton is building a better selfie
- Termites vs. plants: Mystery of desert "fairy circles" solved
- Functional synthetic enzyme could be catalyst for artificial life
- "SodaStream" technique delivers low-cost, filter-free water purification
- The story of the insatiable star that swallowed 15 Earths
- Self-tinting smart windows powered by the sun
