Many robots are designed with a face – like Hitchbot or Pepper robot – yet don’t use their ‘eyes’ to see, or speak through their ‘mouth’. Given that some of the more realistic humanoid robots, like Sophia, are widely considered to be unnerving, and that humans have a propensity to anthropomorphise such designs in technology, should robots have faces at all – or do these faces provide other important functions? And what should they actually look like anyway? Richard Sprenger explains
Space Internet from Starlink, Tesla autopilot, smart fabric from Microsoft and other technology news.
In this issue: Space Internet from Starlink, testing a new autopilot from the company Tesla, and recently Elon Musk announced that the next “killer product” Tesla will not be a cyber truck but Solar Roof.
In China, entrepreneurs try to solve the problem of charging electric cars. The company Boston Dynamics has already managed to sell about 260 units of the robot Spot.
Microsoft developers presented an unexpected product – a smart fabric Capacitivo. Artificial intelligence from Google is used for surveillance and identification of people on the border of the U.S. and Mexico.
New footage of the test of the combat robot “Uranus-6” and many other things have got into the network only here. Sign up to be in touch with all the news in the world of technology!
Visual demonstrations of a number of new products and technology innovations, including robotics.
1. Handle Legs & Wheels: The Best of Both Worlds Handle combines wheels and legs to provide agile high-strength mobile manipulation. Handle is a robot that combines the rough-terrain capability of legs with the efficiency of wheels. It uses many of the same principles for dynamics, balance, and mobile manipulation? found in the quadruped and biped robots we build, but with only 10 actuated joints, it is significantly less complex. Wheels are fast and efficient on flat surfaces while legs can go almost anywhere: by combining wheels and legs, Handle has the best of both worlds.
2. Atlas The World’s Most Dynamic Humanoid Atlas uses balance and whole-body skills to achieve two-handed mobile manipulation. Atlas is the latest in a line of advanced humanoid robots we are developing. Atlas’ control system coordinates motions of the arms, torso and legs to achieve whole-body mobile manipulation, greatly expanding its reach and workspace. Atlas’ ability to balance while performing tasks allows it to work in a large volume while occupying only a small footprint.
3. LS3 Legged Squad Support Systems The AlphaDog of legged robots carries heavy loads over rough terrain. LS3 was designed to go anywhere Marines and soldiers go on foot, helping carry their load. LS3 carries 182 kg of gear and enough fuel for a 32 km mission lasting 24 hours. (In one test on flat terrain LS3 carried over 500 kg of payload.) LS3 automatically follows its leader using computer vision, so it does not need a dedicated driver. It also travels to designated locations using terrain sensing, obstacle avoidance and GPS.
4. BigDog The First Advanced Rough-Terrain Robot The first legged robot to leave the lab and take on the real world. BigDog has four legs that are articulated like an animal’s, with compliant elements to absorb shock and recycle energy from one step to the next. BigDog is the size of a large dog or small mule.
5. SpotMini Good Things Come in Small Packages A nimble robot that handles objects, climbs stairs, and will operate in offices, homes and outdoors. SpotMini is a small four-legged robot that comfortably fits in an office or home. It weighs 25 kg (30 kg if you include the arm). SpotMini is all-electric and can go for about 90 minutes on a charge, depending on what it is doing. SpotMini is the quietest robot we have built.
1) Cassie, Two-Legged Walking Robot From Agility Robotics – Made For Search & Rescue Efforts. 2) HRP-4C (Miim) is Feminine humanoid Robot Can Sing Walk & Dance So Well. 3) hrp-4c, miim, dancing robot, singing robot, 4) Atlas, The World’s Most Dynamic Humanoid Robot from Boston Dynamics.
Digit is now in full commercial production and we’re excited to announce a $20M funding rounding round co-led by DCVC and Playground Global.
The show asks how will the AI revolution change the world? Part one features Jeremy Kahn, Bloomberg Tech Reporter, Mike McDonough Global Chief Economist at Bloomberg Intellligence and Gideon Mann, Head of Data Science at Bloombeg, Part Two features Martin Ford, Author of Rise of the Robots. Part Three features how AI could soon be changing healthcare.
The future is uncertain and full of challenges. How do we rescue our cities and tackle inequalities? How do we deal with an aging future and bridging the gender gap? It’s time for some forward thinking.
Artificial Intelligence or AI is transforming our society and impacting our day to day lives in many areas. AI and automation in general will probably continue to improve and change our way of living in many ways. But the challenges with artificial intelligence systems are unique, and the risks involved in AI cannot be overstated. One such pressing issue that is already manifesting itself today, is the use of artificial intelligence in the creation of LAWs… And they are not what you may think!
In the context of AI, LAWs, stands short for Lethal Autonomous Weapons. It is rather an unfortunate and confusing acronym but also goes by with many not so popular names such as: Robotic weapons, autonomous weapon systems, killer robots, slaughter-bots, etc. They are autonomous military systems that can independently search for and engage targets without human intervention.
In the history of military warfare, the invention of gun powder is considered to be the first revolution. Nuclear weapons are considered to be the second revolution. And autonomous weapons may very well be the third revolution.
LAWs may operate in the air…On land….On water…Under water….And even in space. The Pentagon wants to invest close to $1 billion in AI and machine learning, including $268 million for the new Joint Artificial Intelligence Center for AI tools. With the development of AI systems, drones that can autonomously find and eliminate a targeted individual are only years away not decades. Artificial Intelligence systems for drone technology are improving rapidly. At this point, the issue is not with hardware but with software, meaning how fast new AI algorithms can be developed and be implemented for certain military purposes.
A Quadcopter for example does not have to be equipped with a heavy machine gun to engage its target. A drone geared with a pocket pistol sized gun targeting vulnerable parts of the human body such as the eye-balls, could be and will be probably used for assassinations.
We’re about to enter a new age of Artificial Intelligence technology where high profile individuals’ security, will be increasingly at risk from multiple simultaneous autonomous drone attacks.
Artificial General Intelligence or short AGI was commonly referred as Strong AI. The continues advancements in robotics are also spurring the development of AGI. Currently we only have narrow AI or weak AI. But robots are paving the way for strong AI. In the future, robots might possibly become smarter than us or at least, reach human level intelligence. The field of robotics has seen many improvements over the years, as artificial intelligence systems continue to get better. Machine intelligence is a trendy topic among computer scientists and other relevant researchers on the field. As robots continue to get better, concerns for the rise of a superintelligence or an artificial general intelligence that could have different goals from ours, is increasingly getting the attention of computer scientists and lay people alike. We have often seen works of science fiction where robots and AGI have malicious intent. However, things could go really bad fur us even if initially these intelligent machines are programmed to obey human orders and follow our values. As a machine continues to improve itself by modifying it’s own source code, it could lead to an intelligence explosion. A point of time often referred as a technological singularity. Where it becomes hard if not impossible to predict future trajectories of the AI in question. As of the year 2017, there are over 40 organizations focused on the development of AGI. As we’ve said many times before, today’s AI is narrow. However the field of robotics is accelerating the rise of AGI and we will possibly witness a truly general AI in our lifetimes.
Arizona has what researchers call “the climate of tomorrow, today.” Scientists are using a 30-ton robotic field scanner in the state to study plant genetics and hopefully develop stress-resilient crops.