Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory have developed a robotic gripper with the dexterity to handle thin objects like ropes and cables, the university announced. The technology could one day be used by robots to perform household tasks such as folding clothes, or for more technical purposes like wire shaping.
Humans can find it challenging to manipulate thin flexible objects, and doing so can be “nearly impossible” for robots, MIT spokeswoman Rachel Gordon said in an email. The standard approach had been for robots to use “a series of slow and incremental deformations,” plus mechanical fixtures, to handle these objects.
Will augs like in the video game Deus Ex ever be possible? Why or why not? If one day they are, what are the implications? We have a long way to go, and the more we try to control our system, the less we will have available to us in the future.
DARPA Research (mind controlled, robotic, prosthetic arm) ► https://www.youtube.com/watch?v=xynE-43trQg Great Perspective on Deus Ex (Ross’ Game Dungeon) ► https://www.youtube.com/watch?v=rxOKEsBx4NU
More medical videos by Chubbyemu: Death by Anti-Diarrheal Medicine ► https://www.youtube.com/watch?v=ZeLsJ8xtuGU
Just over a month after announcing its latest generation Ampere A100 GPU, Nvidia said this week that the powerhouse processor system is now available on Google Cloud.
The A100 Accelerator Optimized VM A2 instance family is designed for enormous artificial intelligence workloads and data analytics. Nvidia says users can expect substantive improvements over previous processing models, in this instance up to a 20-fold performance boost. The system maxes out at 19.5 TFLOPS for single-precision performance and 156 TFLOPS for AI and high performance computing applications demanding TensorFloat 32 operations.
The Nvidia Ampere is the largest 7 nanometer chip ever constructed. It sports 54 billion transistors and offers innovative features such as multi-instance GPU, automatic mixed precision, an NVLink that doubles GPU-to-GPU direct bandwidth and faster memory reaching 1.6 terabytes per second.
What is more powerful than suction cup and even a vacuum pump, but was not invented by humans?
Answer: a gecko’s foot. NASA has decided to copy the lizard’s incredible gripping technology, which relies on electrostatic attractions, in its Gecko Gripper robot. This is not coming from an internet troll trying to sell car insurance. The space agency partnered with OnRobot, which specializes in finger-like robotic grippers, to create a device that can (so far) lift 14 pounds. The radiation-resistant pads could literally mean a huge step forward for getting around in space.
A new approach to designing motion plans for multiple robots grows “trees” in the search space to solve complex problems in a fraction of the time.
In one of the more memorable scenes from the 2002 blockbuster film Minority Report, Tom Cruise is forced to hide from a swarm of spider-like robots scouring a towering apartment complex. While most viewers are likely transfixed by the small, agile bloodhound replacements, a computer engineer might marvel instead at their elegant control system.
In a building several stories tall with numerous rooms, hundreds of obstacles and thousands of places to inspect, the several dozen robots move as one cohesive unit. They spread out in a search pattern to thoroughly check the entire building while simultaneously splitting tasks so as to not waste time doubling back on their own paths or re-checking places other robots have already visited.
Superpower standoffs like those between the U.S. and China in the South China Sea are occurring amid the rise of artificial intelligence. AI will speed up military decision-making, but it is risky.
Synthetic self-fuelled motors, which can spontaneously convert chemical energy into mechanical activity to induce autonomous locomotion, are excellent candidates for making self-powered machines, detectors/sensors, and novel robots. The present lab (Zhang et al. in Adv Mater 27:2648–2655, 2004 [1]). discovered an extraordinary self-propulsion mechanism of synthetic motors based on liquid metal objects. Such motors could swim in a circular Petri dish or different structured channels containing aqueous solution with a pretty high velocity on the order of centimeters per second, and surprisingly long lifetime lasting for more than one hour without any assistance of external energy. The soft material liquid metal enables the motors to self-deform, which makes them highly adaptable for accomplishing tough missions in special environment. Interestingly, the motors work just like biomimetic mollusk since they closely resemble the nature by “eating” aluminum as “food”, and can change shape by closely conforming to the geometrical space it voyages in. From practical aspect, one can thus develop a self-powered pump based on the actuation of the liquid metal enabled motor. Further, such pump can also be conceived to work as a cooler. Apart from different geometrical channels, several dominating factors, including the volume of the motor, the amount of aluminum, the property of the solution and the material of the substrate etc., have been disclosed to influence the performance of the autonomous locomotion evidently. This artificial mollusk system suggests an exciting platform for molding the liquid metal science to fundamentally advance the field of self-driven soft machine design, microfluidic systems, and eventually lead to the envisioned dynamically reconfigurable intelligent soft robots in the near future. In this chapter, the typical behaviors and fundamental phenomena of the self fuelled transformable liquid metal machines were illustrated.
The Chief Executive Officer of SpaceX and Tesla, Elon Musk, founded Neuralink, a company that is developing a brain-machine interface that could one day restore a variety of brain-related issues, including restoring eyesight and limb functionality, solve memory loss, even cure depression via a brain chip implant. Musk initially aims to focus on the medical aspect of the neural interface, like solving mobility issues with paralyzed individuals. Ultimately, his team aims to achieve ‘symbiosis’ with Artificial Intelligence (AI).
Imagine a manufacturing plant in which all the production equipment is continually changing in response to market needs. Robots churning out widgets, for instance, would reconfigure themselves based on data coming in from all points of the widget supply chain, as well as sensors monitoring the factory itself. The result is a smart factory that’s more agile and autonomous than previous generations of automation.
Also known as Industry 4.0, the smart factory runs on data and artificial intelligence, but connectivity forms the backbone of operations. The new fifth generation of mobile networks (5G) is a catalyst for this new industrial revolution because it offers much greater speed and bandwidth than previous networks, as well as low latency, or time required for data to travel between two points. 5G will work with and in some cases replace existing fixed, wired connections, making manufacturing more flexible and ready to implement innovations.
5G could replace wired Ethernet as well as Wi-Fi and 4G LTE networks that connect devices in factories, but one 5G supplier is starting with the basics: powering mobile devices and robots. At a new factory in Lewisville, Texas, Swedish telecom Ericsson has been turning out 5G infrastructure equipment with the aid of a 5G network in the plant itself. Ericsson, which is supplying 5G equipment to telecoms in the U.S. such as AT&T, Verizon, Sprint and T-Mobile, has forecast 190 million 5G subscribers by the end of 2020 and 2.8 billion by the end of 2025.
