Robotics

A deep learning-based method for vision-based tactile sensing

To effectively interact with their surrounding environment, robots should be able to identify characteristics of different objects just by touching them, like humans do. This would allow them to get hold of and manage objects ...

Software

MOOSE: A platform to create complex multiphysics simulations

In recent decades, technological advances have opened up exciting new possibilities for research in a variety of fields, including physics. Nonetheless, creating sophisticated simulations to represent or address multiphysics ...

Robotics

Investigating robot illusions and simulations of reality

To evaluate the performance of robotics algorithms and controllers, researchers typically use software simulations or real physical robots. While these may appear as two distinct evaluation strategies, there is a whole other ...

Internet

Simulating quantum many-body systems on Amazon Web Services

Quantum many-body systems (QMBs), which are physical systems made up of multiple interacting particles, are among the most challenging structures to reproduce in numerical simulations. In the past, researchers have attempted ...

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, ...

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 ...

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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