On December 21st 2016, TuSimple, a Chinese autonomous driving startup signed a strategic cooperation agreement with the government in Caofeidian District of Tangshan, Hebei Province, China. According to the agreement, TuSimple has been given permission to test its autonomous trucks in Caofeidian District and it is expected to begin its first trial operation of inter-city automated logistics in October, 2017. This makes it possible for TuSimple to realize commercialization of autonomous trucks earlier than American companies like Otto and Peloton.
Given the ascent in the field of geoinformatics as a vocation, an expanding number of individuals wish to pick it as a profession. The purposes of this decision are self-evident. Geoinformatics is an up and coming profession.
Lucid Motors, the luxury mobility company, and Mobileye N.V. (NYSE: MBLY), the global leader in Advanced Driver Assistance Systems and autonomous driving technologies, announced a collaboration to enable autonomous driving capability on Lucid vehicles.
The Future of Shopping is Here Today!
Endeavor Robotics Submits Proposal Response as Prime System Integrator (PSI) for the Advanced Explosive Ordnance Disposal Robotic System (AEODRS) Increments 2 & 3
Endeavor Robotics (FKA iRobot Defense & Security), the United States-based leader in ground robotics for defense, first responders, and the nuclear industry, submitted a formal proposal response for the AEODRS Increment 2 Tactical Operations System (TOS) & Increment 3 Base/Infrastructure Operations (BIOS) Variants.
Bodkin Design Unveils Unique Snapshot Hyperspectral Products Through Exclusive Partnership With Cubert
Bodkin Design and Engineering, LLC will team with Cubert Gmbh at Photonics West 2017 for a presentation and product demo to showcase their patented snapshot spectral imaging for precision agriculture, medical and biotech, machine vision, and more.
Open Source Robotics and IoT Framework Releases Version 1.0
TraceParts challenged its engineering community to take part in a mystery word competition
The contest will inevitably take up a large area of the circuit since it will consist of three challenges and a triathlon type Grand Challenge. Challenge 1 will require teams to use an Unmanned Aerial Vehicle (UAV) to locate, track and land on a moving vehicle. This means that the UAV must be capable of locating the moving vehicle, navigating the path and speed of the vehicle and land on the target location while the vehicle is in motion.
Optelos Launches Turnkey Solution for Drone Workflow, Solving Key Challenges Holding Back Drone Rrograms
Optelos turnkey approach is setting the standard for securely managing drone work activities and data content.
CES 2017 in Las Vegas Brings AutonmouStuff and NEXCOM Together to Innovate Automated Driving Solutions
Under the FAA Pathfinder Program, PrecisionHawk's Phase 2 research indicates technology assist is critical for BVLOS operations.
Agreement brings additional, complete UAV solution packages to RDO Equipment Co. Customers
Visteon's Silicon Valley Technical Center to Lead Development of Artificial Intelligence for Autonomous Vehicles
The recently opened facility in Santa Clara, California, will work closely with global Visteon tech centers to develop excellence in artificial intelligence software, advanced driver awareness systems (ADAS) and deep machine learning.
Application of integrated circuitry leads to a new approach to LiDAR sensors for the autonomous vehicle, 3D mapping, and drone industries
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Our fully autonomous intelligent vehicles will help you to transform the way you move materials and route your workflows. Increase throughput, eliminate material flow errors, improve traceability, maximize flexibility and allow your employees to focus on higher level tasks. Unlike traditional AGV's, our mobile robotics navigate using the natural features of your facility and do not require expensive facility modifications or guidance. Our AIV's can adapt to changes in their environment and work freely and safely with your staff. Our mobile robots are intelligent enough to quickly learn their environment and then automatically find the optimal path to where they need to go. They also automatically make adjust for dynamic environments and can work together in fleets of up to 100 robots.