Robot Videos of Week: Evolution of Innovation, Robotics in our Everyday Lives, 5G and Robotics

Robot Videos of Week: Evolution of Innovation, Robotics in our Everyday Lives, 5G and Robotics

Jul 24, 2016 @ 18:08 | 

The Evolution of Innovation | Microsoft Research |

Innovation has been at the heart of human progress for centuries. The nature and pace of innovation, however, has changed dramatically over time. Hermann Hauser’s talk will start with a survey of innovation since the invention of the wheel and end with remarks on the latest advances in machine leaning and artificial intelligence. The increased speed of these advances makes it necessary to take a more pro active approach to societal and ethical issues in an expected era of Super intelligence.

Robotics in our everyday lives | Marcelo Ang | TEDxNUS

“The robot is an excellent tool which helps us be happier,” says Dr Marcelo, “the question is, how can we bring the robot out of the factory and integrate it into our everyday lives?” Utilising his research on autonomous vehicles, Dr Marcelo paints the exciting premise of a mobile, car-lite future and explores how mankind could benefit with the help of integrated robotics.

Dr Marcelo Ang has been with the Mechanical Engineering department of the National University of Singapore since 1989 and is the current Acting Director of Advanced Robotics Centre. His extensive research covers robotics, mechatronics, autonomous systems, and applications of intelligent systems. Possessing a desire to better our society, his work and passion for robotics aims to provide a safer and more productive way of living through innovation and creativity. With his research based on Autonomous Vehicles, Dr Marcelo’s intends to provide a more efficient and convenient way of moving around.

Besides his academic and research positions, Dr Marcelo is also actively involved in the Singapore Robotics Games as its founding chairman, and the World Robot Olympiad as a member of its Advisory Council.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

Brain Controlled Robotics | 2016 ALS Research Symposium |

Bill Smart, Ph.D. Associate Professor of Mechanical Engineering, Oregon State University Presents: Brain Controlled Robotics – How brainwaves may help people with ALS live more fully.

Advances in Robotics for Minimally Invasive Spine Surgery – Kornelis A. Poelstra, MD, PhD

How to Set up A FANUC iRVision 2D Fixed Camera

2D guidance for robotic pick applications is the most basic and most widely used technique for vision guided robotics. The iRVision 2D Single-View Process for a fixed camera configuration is an easy-to-use and yet powerful tool for picking objects whose positions vary in X, Y, and Rotation. In this video, go over the basics of manual configuration of a robot user frame for calibration and the setup of a typical application for accurately picking a part.

5G and Robotics: Emerging Technologies, Solutions, Market Outlook and Forecasts

Market Research Reports, Inc. has announced the addition of “5G and Robotics: Emerging Technologies, Solutions, Market Outlook and Forecasts” research report to their offering.

Soft Actuator for soft robotics: Low Voltage, High Hopes

Electricity is easy to store and deliver but until now, the electric field required to power actuators in soft robots has been too high. This research solves a lot of the challenges in soft actuation by reducing actuation voltage and increasing energy density, while eliminating rigid components.

Robot that can mimics Centipedes Locomotion

Bio-inspired researchers from Kyoto University created a multi-legged robot that can mimics centipedes locomotion. Centipedes move quickly. And when one is coming directly at you, you might not care to spend a moment pondering its agility.

Fast Autonomous Flight of a Vision-based Quadrotor | ETH

Autonomous vision-based flight in the university hall at 4 m/s. In this video, the drone follows an eight-shaped and a circular trajectory, respectively. The quadrotor uses only a single down-looking camera and an IMU as the only sensors. Visual SLAM (SVO 2.0), visual-inertial sensor fusion, planning, and control run fully onboard on an smartphone computer (Odroid U3, ARM Cortex A9). SVO 2.0 takes 10 ms per frame on the Odroid. More info about our system in our papers below.

R1 – your personal humanoid – Istituto Italiano di Tecnologia – IIT

Autonomous Crime Fighting Robot | Autoblog Minute

The K3 Autonomous Data Machine is the latest patrol bot designed for indoor and outdoor security by the Silicon Valley Company, Knightscope Inc.


Leave a Reply

Your email address will not be published. Required fields are marked *