Juggling Robot Takes on Two Balls With One Very Fast Hand

This high-speed robot arm can juggle two balls at once. Can you?

2 min read
Juggling Robot Takes on Two Balls With One Very Fast Hand

It’s been a few years since we’ve seen any new tricks from those amazing high-speed robot hands from Japan. Now another Japanese group, at Chiba University, has managed to teach one of their dexterous hand-arm systems to repeatedly juggle two balls at once with an incredibly lifelike motion, presented yesterday at the 2012 IEEE International Conference on Robotics and Automation (ICRA).

This high-speed hand and arm combination is coupled to an even higher speed vision system that allows the robot’s controller to plan for catches and throws (up to nearly 2 meters in height) at a leisurely 500 frames per second. The hand has three fingers with two or three degrees of freedom each, while the arm has seven more (although not all of them are being utilized). To be clear, the system isn’t just doing a repetitive motion that results in a series of actions that mimic a juggling behavior: the balls are being tracked through the air, and a series of throwing calculations are made for each and every cycle.

At this point, the hand can only reliably execute about five catches in a row before it loses a ball. This is primarily because there’s no operating shoulder joint: the robot is restricted to what’s essentially a two-dimensional vertical plane of operation, so anytime a ball drifts even a little bit sideways, the robot can’t get to it. Also, there’s still some throwing instability going on, which is what causes the ball to gradually wander in the first place. The researchers plan to conquer the latter with a new throwing motion, and then move on to other types of juggling.

If you’re wondering what the point of all this is (or why it qualifies as “research”) the roboticists put it like this:

“[Juggling] is one example of a skillful and dynamic human-like motion. We believe that there is much to be learned from the analysis of fast and repetitive throwing and catching actions, and the experimental results of this study will shed light on the nature of skillful and dynamic manipulations by humans.”

Two Ball Juggling with High-speed Hand-Arm and High-speed Vision System, by Takahiro Kizaki and Akio Namiki from the Graduate School of Engineering at Chiba University in Japan, was presented yesterday at ICRA 2012 in St. Paul, Minn.

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By 2050, the global population aged 65 or more will be nearly double what it is today. The number of people over the age of 80 will triple, approaching half a billion. Supporting an aging population is a worldwide concern, but this demographic shift is especially pronounced in Japan, where more than a third of Japanese will be 65 or older by midcentury.

Toyota Research Institute (TRI), which was established by Toyota Motor Corp. in 2015 to explore autonomous cars, robotics, and “human amplification technologies,” has also been focusing a significant portion of its research on ways to help older people maintain their health, happiness, and independence as long as possible. While an important goal in itself, improving self-sufficiency for the elderly also reduces the amount of support they need from society more broadly. And without technological help, sustaining this population in an effective and dignified manner will grow increasingly difficult—first in Japan, but globally soon after.

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