Cocktail Bot 4.0

Robohub

The Cocktail Bot 4.0 consists of five robots with one high-level goal: Mix one more than 20 possible drink combination for you! But it isn't as easy as it sounds. After the customer composed his drink by combining liquor, soft drink and ice in a web interface. The robots start to mix the drink on their own. Five robot stations are preparing the order to deliver it to the guests.


6 innovative robotic grippers lend a helping hand

#artificialintelligence

OnRobot introduced new robotic grippers at Automatica 2018, including the Tactile gripper. With the collaborative robot market exploding, robotic grippers will be an area of growth and increasing competition. That was made abundantly clear at Automatica 2018 where new robotic grippers made quite a splash. While market growth has an impact on the amount of innovation taking place, Lasse Kieffer, CEO and co-founder of Purple Robotics, said a shift in mindset is also leading to new robotic grippers. "End users want a collaborative robot application.


Robot Arm Uses AI to Get a Better Grip

#artificialintelligence

Imagine a robotic hand that can identify, examine and handle objects autonomously, without needing a human operator to guide it. That's what SCHUNK aims to create with its line of intelligent grippers. The company has already brought to market its Co-act JL1 Gripper, which SCHUNK claims is the world's first intelligent gripping module for human-robot collaboration. These robots use AI to learn how to identify and manipulate objects--and are less reliant on a human controller to tell them what to do. SCHUNK's intelligent grippers adjust their behavior in real time depending on what it's gripping.


Yale's Robot Hand Copies How Your Fingers Work to Improve Object Manipulation

IEEE Spectrum Robotics

In-hand manipulation is one of the things near the top of a very, very, very long list of things that humans do without thinking that are extraordinarily difficult for robots. It's the act of repositioning an object with one hand, usually with your fingers--you do it whenever you pick up a pen, for example, to switch from a "picking up" grasp to a "writing something" grasp. Next time you do this, pay attention to the intricate, coordinated motion that happens, and ask yourself just how in the world you could honestly expect a robot to do something similar. And yet, robots are learning to do such things. For example, OpenAI recently taught a five-fingered hand to manipulate a cube, which is great, if you have a lot of patience and/or computing resources, and the budget for a fancy hand and stuff.


A lizard-inspired robot gripper may solve our space-junk problems

Engadget

Space junk is a huge problem in orbit. Over 500,000 pieces of debris are currently orbiting the Earth at up to 17,500 miles per hour, and we haven't yet figured out how to clean it up. But engineers at Stanford may have made a breakthrough: They've designed a robotic gripper based on gecko's feet that works in zero-g. The end goal is to use it to clean up space junk. The problem with existing technology is that everything is designed to work at Earth's gravity, within Earth's temperature range.