Robot News

January 21, 2021

Behind those dancing robots, scientists had to bust a move

The man who designed some of the world’s most advanced dynamic robots was on a daunting mission: programming his creations to dance to the beat with a mix of fluid, explosive and expressive motions that are almost human. Source: Phys Org – Robotics
January 21, 2021

Designing customized “brains” for robots

Contemporary robots can move quickly. “The motors are fast, and they’re powerful,” says Sabrina Neuman. Yet in complex situations, like interactions with people, robots often don’t move quickly. “The hang up is what’s going on in the robot’s head,” she adds. Perceiving stimuli and calculating a response takes a “boatload of computation,” which limits reaction time, says Neuman, who recently graduated with a PhD from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Neuman has found a way to […]
January 20, 2021

Three MIT faculty elected 2020 ACM Fellows

Three MIT computer science faculty members have been elected as fellows of the Association for Computing Machinery (ACM). The new fellows are among 95 ACM members recognized as the top 1 percent for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community. Fellows are nominated by their peers, with nominations reviewed by a distinguished selection committee. Anantha Chandrakasan is dean of the School of Engineering and the Vannevar Bush Professor of Electrical […]
January 20, 2021

Squid-inspired robot swims with nature's most efficient marine animals

Scientists at the University of Southampton and University of Edinburgh have developed a flexible underwater robot that can propel itself through water in the same style as nature’s most efficient swimmer—the Aurelia aurita jellyfish. Source: Phys Org – Robotics
January 20, 2021

A MiR500 Robot Lowers Transport Costs at Schneider Electric

The Schneider Electric Polska plant deals with the production of low voltage apparatus switches and accessories for these products. They have implemented an autonomous mobile robot MiR500 that transports finished products between the production line and the warehouse. Source: Robotics Tomorrow
January 20, 2021

How do you know where a drone is flying without a GPS signal?

In Jouko Kinnari’s doctoral dissertation, the location of a drone can be determined using map data and sensors. Source: Phys Org – Robotics
January 20, 2021

How to train a robot (using AI and supercomputers)

Computer scientists developed a deep learning method to create realistic objects for virtual environments that can be used to train robots. The researchers used TACC’s Maverick2 supercomputer to train the generative adversarial network. The network is the first that can produce colored point clouds with fine details at multiple resolutions. Source: Science Daily – Robotics
January 19, 2021

New FAA Drone Rules: What Recreational and Commercial Pilots Need to Know

The United States Federal Aviation Administration has been desperately trying to keep up with the proliferation of recreational and commercial drones. They haven’t been as successful as all of us might have wanted, but some progress is certainly being made, most recently with some new rules about flying drones at night and over people and vehicles, as well as the requirement for a remote-identification system for all drones. Over the next few years, FAA’s drone rules are going to affect you even if […]
January 19, 2021

An intro to the fast-paced world of artificial intelligence

The field of artificial intelligence is moving at a staggering clip, with breakthroughs emerging in labs across MIT. Through the Undergraduate Research Opportunities Program (UROP), undergraduates get to join in. In two years, the MIT Quest for Intelligence has placed 329 students in research projects aimed at pushing the frontiers of computing and artificial intelligence, and using these tools to revolutionize how we study the brain, diagnose and treat disease, and search for new materials with mind-boggling properties. Rafael Gomez-Bombarelli, […]
January 19, 2021

Appreciating a flower's texture, color, and shape leads to better drone landings

Researchers present an optical flow-based learning process that allows robots to estimate distances through the visual appearance (shape, color, texture) of the objects in view. This artificial intelligence (AI)-based learning strategy increases the navigation skills of small flying drones and entails a new hypothesis on insect intelligence. Source: Science Daily – Robotics