Sivusto ei tue käyttämääsi selainta. Suosittelemme selaimen päivittämistä uudempaan versioon.

 

Robotit, erityisesti autonomiset, joiden ei välttämättä tarvitse olla humanoidirobotteja, ovat aina kiinnostaneet minua. Itsekseen, tai muiden robottikavereiden ja ihmistenkin kanssa, maailmaa ihmettelevä ja oudossa ympäristössä selviytymistä yrittävä robotti on varsin mielenkiintoinen sekä ohjelmistojensa että rakenteellisten ominaisuuksiensa kannalta. Sellaisen tekemisessä on edelleen melkoisia haasteita, mutta eiköhän lähitulevaisuudessa nähdä itsestään ajelevien autojen lisäksi myös itsenäisesti toimivia palvelurobotteja sekä siviili- että sotilastehtävissä. Tämä jälkimmäinen aihealue näkyy etenevän melkoista vauhtia eräässä suuressa läntisessä valtiossa, mutta muillakin tekniikan kärkimailla on vastaavia kehityshankkeita. 

 

Robotiikkalinkkejä

  Suomen Robotiikkayhdistys      ZenRobotics      Kuka      Mitsubishi      ABB 

Asimo      iCub.org      MetraLabs      Fraunhofer Institut      Robottiautouutisia      DARPA Robotics      

 CyberBotics      V-REP      Microsoft Robotics Developer Studio      Open Source Robotics Foundation

Watson      Robohub

Python-EV3DEV Documentation      EV3 Python 

 

IEEE Spectrum Robotics

Searching for the Perfect Artificial Synapse for AI
Posted on Tuesday December 11, 2018

Researchers tried out several new devices to get closer to the ideal needed for deep learning and neuromorphic computing

Robot Gift Guide 2018
Posted on Monday December 10, 2018

Over a dozen robots that we promise will make fantastic holiday gifts

Video Friday: Space Station's New Robot Helper, and More
Posted on Friday December 07, 2018

Your weekly selection of awesome robot videos

New Class of Metamaterials Changes Physical Properties in Seconds
Posted on Friday December 07, 2018

Mechanical metamaterials can have their rigidity tuned, offering a new approach to soft robotics

DeepMind Achieves Holy Grail: An AI That Can Master Games Like Chess and Go Without Human Help
Posted on Thursday December 06, 2018

AlphaZero, a general-purpose game-playing system, quickly taught itself to be the best player ever in Go, chess and Shogi

Antenna evaluation method could help boost 5G network capacity and cut costs
Posted on Monday December 10, 2018

Researchers have developed a method for evaluating and selecting optimal antenna designs for future fifth-generation (5G) cellphones, other wireless devices and base stations.

Mountain splendor? Scientists know where your eyes will look
Posted on Tuesday December 04, 2018

Using precise brain measurements, researchers predicted how people's eyes move when viewing natural scenes, an advance in understanding the human visual system that can improve a host of artificial intelligence efforts, such as the development of driverless cars.

Insight into swimming fish could lead to robotics advances
Posted on Thursday November 29, 2018

The constant movement of fish that seems random is actually precisely deployed to provide them at any moment with the best sensory feedback they need to navigate the world.

Flexible electronic skin aids human-machine interactions
Posted on Wednesday November 28, 2018

Human skin contains sensitive nerve cells that detect pressure, temperature and other sensations that allow tactile interactions with the environment. To help robots and prosthetic devices attain these abilities, scientists are trying to develop electronic skins. Now researchers report a new method that creates an ultrathin, stretchable electronic skin, which could be used for a variety of human-machine interactions.

Computers successfully trained to identify animals in photos
Posted on Tuesday November 27, 2018

Researchers trained a deep neural network to classify wildlife species using 3.37 million camera-trap images of 27 species of animals obtained from five states across the United States. The model then was tested on nearly 375,000 animal images at a rate of about 2,000 images per minute on a laptop computer, achieving 97.6 percent accuracy -- likely the highest accuracy to date in using machine learning for wildlife image classification.