Results


Video Friday: Honda's Huggable Robot, New Artificial Muscle, and Boeing Cargo Drone

IEEE Spectrum Robotics Channel

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next few months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. CES isn't really a venue for the launch of flagship robotics products anymore (if it ever was), but we still see some high profile introductions from large companies looking to make a splash. Besides LG, Honda was the other notable, with a couple strange robots (and one kind of familiar looking).


Video Friday: Aibo Reborn, Robot Plus HoloLens, and NREC's Formula

IEEE Spectrum Robotics Channel

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. We already posted about the unveiling of Sony's new Aibo, but here's a bit of extra video from the event showing the little robotic dog in live action: In this video we show a compilation of our research for the last 4 years on autonomous navigation of bipedal robots. It is part of the DFG-founded project "Versatile and Robust Walking in Uneven Terrain" (German Research Foundation) and includes development in environment perception and modeling, motion planning and stability control.


Video Friday: Rocket RoboBee, Willow Garage, and Caltech's Cassie

IEEE Spectrum Robotics Channel

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. A new RoboBee from Harvard can swim underwater, and then launch itself into the air with a microrocket and fly away. At the millimeter scale, the water's surface might as well be a brick wall.


autonomous-robots-plant-tend-and-harvest-entire-crop-of-barley?utm_source=feedburner-robotics&utm_medium=feed&utm_campaign=Feed%3A+IeeeSpectrumRobotics+%28IEEE+Spectrum%3A+Robotics%29

IEEE Spectrum Robotics Channel

During the Hands Free Hectare project, no human set foot on the field between planting and harvest--everything was done by robots. To make these decisions, robot scouts (including drones and ground robots) surveyed the field from time to time, sending back measurements and bringing back samples for humans to have a look at from the comfort of someplace warm and dry and clean. With fully autonomous farm vehicles, you can use a bunch of smaller ones much more effectively than a few larger ones, which is what the trend has been toward if you need a human sitting in the driver's seat. Robots are only going to get more affordable and efficient at this sort of thing, and our guess is that it won't be long before fully autonomous farming passes conventional farming methods in both overall output and sustainability.


Video Friday: DARPA's LUKE Arm, Human Support Robot, and Starting a Robotics Company

IEEE Spectrum Robotics Channel

Dean Kamen's DEKA R&D firm, with support from DARPA's Revolutionizing Prosthetics Program, designed the advanced prosthetic LUKE Arm to give amputees "dexterous arm and hand movement through a simple, intuitive control system." A series of research flights at NASA's Dryden (now Armstrong) Flight Research Center in the summer of 2005 validated the premise that using thermal lift could significantly extend the range and endurance of small unmanned air vehicles (UAVs) without a corresponding increase in fuel requirements. This 1-minute, 53-second video taken on October 1, 2011 shows the NASA Dryden (now Armstrong) Flight Research Center's Dryden Remotely Operated Integrated Drone (DROID) sub-scale test bed aircraft is moving up to the flight test big leagues! The center's Automatic Collision Avoidance Technology team conducted test flights of new software architecture on the radio-controlled large model aircraft to demonstrate that even the simplest flight systems may benefit from Automatic Ground Collision Avoidance Software (GCAS).


Video Friday: Valkyrie on Rough Terrain, Harvard Arthropods, and Flying Wheeled Robot

IEEE Spectrum Robotics Channel

I suppose you could decide that this project from MIT's Tangible Media Group isn't really a robot, but I think it's arguably robotic enough (and definitely cool enough) that we can let it slide for this week: We present AnimaStage: a hands-on animated craft platform based on an actuated stage. At the end of every semester, UC Berkeley has a design showcase in Jacobs Hall. My modified Racing Roomba takes on the obstacle course at UC Berkeley's annual student vehicle challenge. If so, they didn't put it on this table: Two modules of EJBot propeller-type climbing robot which use a hybrid actuation system.


Video Friday: Robot Dance Teacher, Transformer Drone, and Pneumatic Reel Actuator

IEEE Spectrum Robotics Channel

These results validate the performance of aerial grasping based on our proposed wholebody grasp planning and motion control method. However, for most vehicles, high performance over rough terrain reduces the travel speed and/or requires complex mechanisms. We extend GPS in the following ways: (1) we propose the use of a model-free local optimizer based on path integral stochastic optimal control (PI2), which enables us to learn local policies for tasks with highly discontinuous contact dynamics; and (2) we enable GPS to train on a new set of task instances in every iteration by using on-policy sampling: this increases the diversity of the instances that the policy is trained on, and is crucial for achieving good generalization. To increase the spike decision rates, iterative spiking training with actual blockers is required.


Why Rat-Brained Robots Are So Good at Navigating Unfamiliar Terrain

IEEE Spectrum Robotics Channel

While running a SLAM algorithm, a robot can explore strange terrain, building a map of its surroundings while at the same time positioning, or localizing, itself within that map. Wyeth had long been interested in brain-inspired computing, starting with work on neural networks in the late 1980s. Their aim wasn't to create maps built with costly lidars and high-powered computers--they wanted their system to make sense of space the way animals do. To mimic this structure and behavior in software, Milford adopted a type of artificial neural network called an attractor network.


Video Friday: Brain Scanning Baxter, Burger Flipping Arm, and Elevators with Feelings

IEEE Spectrum Robotics Channel

We decode ErrP signals from a human operator in real time to control a Rethink Robotics Baxter robot during a binary object selection task. It has been produced to support KONE's 24/7 Connected Services, which uses the IBM Watson IoT platform and other advanced technologies to bring intelligent services to elevators and escalators. This video presents the robotic system designed by Team NimbRo Picking for the Amazon Picking Challenge 2016. In this talk, Shuo will review some key technologies DJI has developed, then talk about RoboMasters, a robotics competition that uses these technologies to nurture next generation engineers.


Video Friday: Robot Push-Recovery, Air-Water Drone, and DARPA Explains AI

IEEE Spectrum Robotics Channel

These autonomous ground robots can be deployed to establish a mobile microgrid. Muscular activity contains information on motion intention. By decoding the muscular activity of an arm during reachig-to-grasp motions, Billard Lab was able to detect grasp type in the early stages of a reaching motion which enables fast activation of a robotic hand by teleoperation. Our goal is to develop AirSim as a platform for AI research to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles.