Robotics

A robot that teaches itself to walk using reinforcement learning

A team of researchers at the University of California, Berkeley, has built a two-legged robot with t he ability to teach itself to walk using reinforcement learning. The team has written a paper describing their work and ...

Robotics

Scientists create the next generation of living robots

Last year, a team of biologists and computer scientists from Tufts University and the University of Vermont (UVM) created novel, tiny self-healing biological machines from frog cells called "Xenobots" that could move around, ...

Energy & Green Tech

Integrating solar panels in shady places

Due to stricter regulations of sustainability, we might see solar panels more often not only on sunny rooftops, but more and more on shaded roofs and facades as well, which brings new challenges in their integration. In ...

Engineering

Novel cathode designed for high-performance sodium ion batteries

Due to their large-scale energy storage, sodium ion batteries (SIBs) are a promising alternative to lithium-ion batteries (LIBs). However, it's challenging to develop high-energy and high-power SIBs due to the greater atomic ...

Robotics

RoboEYE: A semi-autonomous and gaze-guided wheelchair

Recent technological advancements have enabled the development of new tools to assist people with different types of disabilities, allowing them to move more freely in their surroundings and complete a number of everyday ...

Simulation

Simulation is the imitation of some real thing, state of affairs, or process. The act of simulating something generally entails representing certain key characteristics or behaviours of a selected physical or abstract system.

Simulation is used in many contexts, including the modeling of natural systems or human systems in order to gain insight into their functioning. Other contexts include simulation of technology for performance optimization, safety engineering, testing, training and education. Simulation can be used to show the eventual real effects of alternative conditions and courses of action.

Key issues in simulation include acquisition of valid source information about the relevent selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes.

This text uses material from Wikipedia, licensed under CC BY-SA