In mid-August, researchers and students from Cambridge, Princeton, Arizona State, and Stanford will introduce a new interactive daily online challenge on Zoom, open to all, to evaluate new solutions for Climate Change.
Robotic Healthcare: Integrating Robotics into Surgery
The Robotic System Combating the Soft Plastic Recycling Crisis
By Joan Nugent
The Development of an Algorithm that Helps Soft Robots Understand Their Surroundings
How a Team from MIT is Using an AI Tool to Detect Melanoma
Using an AI Device and Platform to Help Combat Hand Weakness
Drone Imaging with MIPAR
From MIPAR Image Analysis
Novel Algorithm to Fly Autonomous Drones Faster than Human Pilots
Modern Drones Could Mimic 300-Million-Year-Old Dragonflies
Betting on Drones as Smart Agricultural Tools for Pesticide Use in Farms
Researchers to Employ AI to Develop the Internet of Future
Flexible Robots Created at ITMO University
Experts Collaborate to Enhance Automated Mobility to Achieve Sustainability
Study Compares Simulation and Reality to Learn Robot Swarm Behavior
New Artificial Swimmers Developed Using Oil and Water
Professor Branka Vucetic
AZoRobotics speaks to Professor Branka Vucetic from the University of Sydney. Professor Vucetic led a team that has developed a system that could help solve the soft plastic waste crisis.
Andrew Spielberg and Alexander Amini
Soft robot development could benefit from an algorithm that optimizes sensor placement allowing such machines to better ‘understand’ their environments.
Luis R. Soenksen Ph.D.
AZoRobotics speaks with Luis R. Soenksen, entrepreneur and medical device expert, currently acting as MIT's first Venture Builder in Artificial Intelligence and Healthcare. Luis was part of a team that has developed a system that uses neural networks to spot 'ugly duckling' pre-cancerous lesions on
This page discusses Celera Motion’s Capitan Series to their line of premium performance Ingenia servo drives.
This page details the capabilities of the TeraRanger Evo Mini, a single- and multi-pixel capability in one sensor.
The basis of the fiber alignment system is a very stiff set-up consisting of the H-811 hexapod and P-616 NanoCube® nanopositioner.