Robotic piece-picking gets smarter with new AI software at RightHand Robotics

Just one year after its debut, the stationary piece-picking robots from RightHand Robotics (Booth B4087) for warehousing and fulfillment centers continue to evolve to address the individual unit handling needs of e-commerce and omni-channel retailers.

“They’re ideal for reliably picking a wide range of variable items at high throughput rates from a tote delivered by an AS/RS or a conveyor,” said Vince Martinellli, head of marketing and products. “To make this happen, we use our RightPick AI—artificial intelligence—software.”

The software overcomes the challenge that most robots face: hand-eye coordination.

“They have an intelligent gripper, a vision system and software that links them all together—as well as a machine learning capability,” he said. “Just as a person uses knowledge from past experiences, so do our robots. The software evaluates an object based on all the other items it’s seen, such as fragile or heavy products, and directs the gripper to pick it with the correct amount of force and at the right angle so the item is not crushed or dropped.”

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