Rapid advances in technology are revolutionizing the roles of aerial, terrestrial and maritime robotic systems in disaster relief, search and rescue (SAR) and salvage operations. Robots and drones can be deployed quickly in areas deemed too unsafe for humans and are used to guide rescuers, collect data, deliver essential supplies or provide communication services.
The need for fast, accurate 3D mapping solutions has quickly become a reality for many industries wanting to adopt new technologies in AI and automation. New applications requiring these 3D mapping platforms include surveillance, mining, automated measurement & inspection, construction management & decommissioning, and photo-realistic rendering. Here at Clearpath Robotics, we decided to team up with Mandala Robotics to show how easily you can implement 3D mapping on a Clearpath robot.
Advances in robotics and AI have led to modern commercial drone technology, which is changing the fundamental way enterprises interact with the world. Drones bridge the physical and digital worlds. They enable companies to combine the power of scalable computing resources with pervasive, affordable sensors that can go anywhere. This creates an environment in which businesses can make quick, accurate decisions based on enormous datasets derived from the physical world.
The Xponential 2017 national conference was held May 8-11 by the Association for Unmanned Vehicle Systems International (AUVSI) in the Kay Bailey Hutchison Convention Center in Dallas, Texas. The event took place in the largest exhibit hall ever dedicated to unmanned systems and robotics, with over 370,000 square feet. It featured over 650 robotics organizations – companies, research institutions, universities, consultants, nonprofits and more – from the U.S. and countries worldwide.
In a three-year competition, five international teams competed to develop a robot for routine-, inspection- and emergency operations on oil & gas sites. Frequently, gas leaks on oil drilling rigs can cause an increased risk to safety and the environment.
How can we create robots that can carry out important tasks in dangerous environments? Machine learning is supporting advances in the field of robotics. To find out more, we talked to Dr Rustam Stolkin, Royal Society Industry Fellow for Nuclear Robotics, Professor of Robotics at the University of Birmingham, and Director at A.R.M Robotics Ltd, about his work combining machine learning and robotics to create practical solutions to nuclear problems.
NASA, the European Space Agency (ESA) and entrepreneurs aiming to jump-start human colonisation of space see the 3D printing of large scale objects, including entire habitations, as a major enabling technology for the future of space exploration.
The University of the West of England (UWE Bristol) is part of a consortium which has received a £4.6 million grant to build a new generation of robots for use in nuclear sites. The funding from the Engineering and Physical Sciences Research Council will help develop smaller robotics technologies that will be able to operate autonomously and effectively in hazardous environments.
Since the launch of the Shell Ocean Discovery XPRIZE at the American Geophysical Union Fall Meeting in San Francisco in December 2015, individuals from around the world have been racing to form Teams and develop a range of groundbreaking technologies to access the deep-sea. Registration closed at the end of September 2016 with 32 bold Teams stepping forward to take on the challenge of mapping and imaging our ocean as never before.
The UNEXMIN (Underwater Explorer for Flooded Mines) project is almost one year old. After a busy first year of work, UNEXMIN is on-schedule to deliver the first mechanical UX-1 prototype. Jussi Aaltonen, from TUT (Tampere University of Technology), leaders of WP1 – Robotic Functions Validations, talks about what has been done over the past year concerning his team’s work in UNEXMIN’s development scene.