A revolutionary NASA Technology Demonstration Mission project called Dragonfly, designed to enable robotic self-assembly of satellites in Earth orbit, has successfully completed its first major ground demonstration. Over time, the system will integrate 3-D printing technology enabling the automated manufacture of new antennae and even replacement reflectors as needed. Vijay Kumar kicks things off with a talk about "research to enhance tactical situational awareness in urban and complex terrain by enabling the autonomous operation of a collaborative ensemble of microsystems." Next, Sean Humbert from UC Boulder talks about develping the fundamental science, tools, and algorithms to enable mobility of heterogeneous teams of autonomous micro-platforms for tactical situational awareness.
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.
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).
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.
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.
In January, we wrote about a cybernetic micro air vehicle under development at Draper called DragonflEye. The backpack interfaces directly with the dragonfly's nervous system to control it, and uses tiny solar panels to harvest enough energy to power itself without the need for batteries. The unique thing about DragonflEye (relative to other cyborg insects) is that it doesn't rely on spoofing the insect's sensors or controlling its muscles, but instead uses optical electrodes to inject steering commands directly into the insect's nervous system, which has been genetically tweaked to accept them. This means that the dragonfly can be controlled to fly where you want, without sacrificing the built-in flight skills that make insects the envy of all other robotic micro air vehicles.
Even aircraft designed to hover, like helicopters and quadrotors, have preferential directions of orientation and travel where their particular arrangement of motors and control surfaces makes them most effective. ETH Zurich's Omnicopter goes about flying in a totally different way. We have developed a computationally efficient trajectory generator for six degrees-of-freedom multirotor vehicles, i.e. The fetching work comes from Dario Brescianini and Raffaello D'Andrea at the Institute for Dynamic Systems and Control (IDSC), ETH Zurich, Switzerland.
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.
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.
Making a fully autonomous delivery robot (whether it's flying or not) is a very hard problem. Rather than try to develop a fully autonomous delivery robot from scratch, PFF is instead starting with something simpler: A pleasingly roundish robot called Gita ("gee-tah") that will follow you around, carrying 19 kilograms of tools, groceries, or whatever you want. But PFF also wants Gita to eventually be able to navigate completely by itself, even if the user isn't nearby (a capability that would let the robot make deliveries, like the autonomous robot delivery service being developed by London startup Starship Technologies). PFF's choice to rely solely on stereo cameras for outdoor localization in mostly unstructured environments is interesting, since there are many outdoor situations in which cameras aren't great, like at night, or looking into low sun angles.