I must say, 88% return rate is much better than me. But I would be surprised if it could beat a series of new players consistently. Artificial intelligence may seem like a fantasy far into the future, but simple forms of artificial learning are already possible, and are quite formidable. This is definitely the first step in the right direction.
From the bot's perspective, the ball is probably moving in slow motion. A 60Hz sample rate is near in-human. Average reaction time in humans hovers around 200ms.
The first sentence is pretty funny. I've often wondered if some people were robots: not only in sports, but in customer service conversations, both on the phone and by email. As robots get more humanoid looking that's going to be harder to determine even with visual cues.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.