Features 5/31/2011 4 comments As unmanned drones play an increasingly important role in defense strategies and tactics, the demands on the electronic control systems in these vehicles include extreme portability, ruggedness and safety. Every component in these systems carries with it the weight of mission success or failure - all the way down to the switches.
Unified Components and Controls for Robot Kinematics
Features 5/31/2011 1 comment With the automotive industry employing 95 percent of the robots in use for industrial purposes, this industry's robotic trends points the way toward future robot designs, which increasingly involves modularization, reduction in the number of assemblies and elimination of proprietary hardware.
Putting Physics into Human Modeling
Features 5/25/2011 1 comment Using complex mathematical models, predictive dynamics and a sprinkling of robotics technology, the Santos digital human modeling software is helping the U.S. military and large manufacturers test quality, safety and ergonomics factors in a virtual world.
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.