After studying how insects navigate through dense vegetation, researchers at Lund University in Sweden have come up with a system that can be applied to flying robots. By adapting the system to drones, they can be made to adjust their speed to their surroundings and fly on their own- completely without human intervention and control.
XPONENTIAL - UAS Magazine Announces UAS Energy In Sight Summit Co-Located at AUVSI's 2016 Xponential in New Orleans
Produced by UAS Magazine, this one-day event will highlight the connection between the energy industry and UAS technology or services
Anything Technologies Media Inc., Completes Acquisition of GSP an Innovative Technology Company focused on the Development of Drones
GSP is also the owner of proprietary rights to develop drones for a wide range of uses for Agriculture, Disaster Relief, Military, and Environmental research. GSP has partners in China and India to develop their new innovative drones.
IEEE Standards Association Introduces Global Initiative for Ethical Considerations in the Design of Autonomous Systems
Industry Connections Program to identify needs and build consensus for standards, certifications and codes of conduct regarding the ethical implementation of intelligent technologies
Unmanned systems entrepreneurs and innovators pitch ideas for a chance to win $15,000 and more
The New Mobile App from Festo Enables Fast Delivery of Parts, Greater Productivity, and Lower Inventory Cost
Festo engineered the new mobile app with unbeatable features and ease of use for accessing product information and securing FAST delivery.
Robot avatars programmed to talk with their hands to be understood better
Efficient 3D Object Segmentation from Densely Sampled Light Fields with Applications to 3D Reconstruction
From Kaan Yücer, Alexander Sorkine-Hornung, Oliver Wang, Olga Sorkine-Hornung: Precise object segmentation in image data is a fundamental problem with various applications, including 3D object reconstruction. We present an efficient algorithm to automatically segment a static foreground object from highly cluttered background in light fields. A key insight and contribution of our paper is that a significant increase of the available input data can enable the design of novel, highly efficient approaches. In particular, the central idea of our method is to exploit high spatio-angular sampling on the order of thousands of input frames, e.g. captured as a hand-held video, such that new structures are revealed due to the increased coherence in the data. We first show how purely local gradient information contained in slices of such a dense light field can be combined with information about the camera trajectory to make efficient estimates of the foreground and background. These estimates are then propagated to textureless regions using edge-aware filtering in the epipolar volume. Finally, we enforce global consistency in a gathering step to derive a precise object segmentation both in 2D and 3D space, which captures fine geometric details even in very cluttered scenes. The design of each of these steps is motivated by efficiency and scalability, allowing us to handle large, real-world video datasets on a standard desktop computer... ( paper )
Rising Media to hold the 3rd annual 'Inside 3D Printing Conference & Expo,' Asia's largest 3D Printing Tradeshow on June 22-24, 2016 in Seoul
This is the largest 3D Printing event in Korea and one of the most important and state-of-the-art 3D Printing tradeshows in the Asian region. This year's event promises to demonstrate more excitement than ever before with soaring popularity of new AM (Additive Manufacturing) technologies that foster innovation in various fields across the globe.
Endeavor Robotics the Industry's Leading Ground Robot Company Goes Private to Capitalize on Emerging Opportunities
New Independent Company Formerly The Defense and Security Business Unit of iRobot Corporation
Endeavor Robotics, established by Arlington Capital Partners, to focus on the defense, public safety and industrial markets
Worcester Polytechnic Institute Professor Receives Grant to Assist U.S. Air Force in Unmanned Aerial Vehicle Research
Intelligent algorithms placed on board UAVs could assist remote military and civilian pilots and lead to improved operational safety
Four teams initiate research into affordable, distributed technologies that could provide breakthrough tactical and strategic capabilities
Roy Bishop for The Japan Times: Child care is a hard job, but somebody, or something, has got to do it. Japanese researchers have developed androids to meet that need, which includes happily reading that fairy tale again and again and again. The androids, which were created by a team of education and robotics specialists at a research facility in Abiko, Chiba Prefecture, are part of a larger system called RoHo Care. Short for Robotic Hoikujo (day care center), RoHo is being touted as a high-tech solution to the staffing crisis that forced the Health, Labor and Welfare Ministry to announce emergency measures this week. “I never thought I’d see this day, but we’re now confident that RoHo could blaze a trail for child care worldwide,” said team leader Makoto Hara. At a briefing on Thursday, Hara introduced a “care-droid” prototype named Or-B, the core component of RoHo’s vision for day care assistance, and said it will undergo a trial run this summer before full-scale implementation in 2018. Cont'd...
XPONENTIAL 2016 (formerly AUVSI) will be held from May 2nd - 5th in New Orleans, LA. This RoboticsTomorrow.com Special Tradeshow report aims to bring you news, articles and products from this years event.
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Unmanned & Other Topics - Featured Product
Duro® is a ruggedized version of the Piksi® Multi RTK GNSS receiver from Swift Navigation. Built to be tough, Duro is ideal for robotics applications and is designed for integration into existing equipment. This affordable, easy-to-deploy GNSS sensor is protected against weather, moisture, vibration, dust, water immersion and the unexpected that can occur in outdoor long-term deployments. Download the Duro vibration testing white paper from Swift Navigation.