Real-time behaviour synthesis for dynamic Hand-Manipulation
From Vikash Kumar at University of Washington:
Dexterous hand manipulation is one of the most complex types of biological movement, and has proven very difficult to replicate in robots. The usual approaches to robotic control - following pre-defined trajectories or planning online with reduced models - are both inapplicable. Dexterous manipulation is so sensitive to small variations in contact force and object location that it seems to require online planning without any simplifications. Here we demonstrate for the first time online planning (or model-predictive control) with a full physics model of a humanoid hand, with 28 degrees of freedom and 48 pneumatic actuators. We augment the actuation space with motor synergies which speed up optimization without removing flexibility. Most of our results are in simulation, showing nonprehensile object manipulation as well as typing. In both cases the input to the system is a high level task description, while all details of the hand movement emerge online from fully automated numerical optimization. We also show preliminary results on a hardware platform we have developed "ADROIT" - a ShadowHand skeleton equipped with faster and more compliant actuation... (website)
University spin-out company with Sebastian Conran to develop next generation of robots
A new company has been formed to bring next generation assistive and companion robots to market by combining University-developed robotics research with the best of British design.
Mapping And Navigating With An Intel RealSense R200 Camera
In our latest demonstration, Archie provides an overview of the R200 sensor and shows how it can integrate seamlessly with ROS and a TurtleBot to accurately map and navigate an environment.
Water-based reconfigurable robot could offer new solutions to underground pipe network inspection
Researchers at the University of Sheffield have created an aquatic robot which could be used to inspect otherwise inaccessible pipe networks to deal with blockages.
Winners Announced in First-Annual $100,000 International Robot Art Competition
GeckoSystems' SafePath(tm) AI Mobile Robot Demo Secures Licensing Agreement
The demonstration of GeckoSystems' "loose crowd" level of mobile robot autonomously self-ambulating to the seven CEO's and senior management of these international robotics firms was an unqualified success.
DARPA Demo Day 2016 Aims to Speed Transition of Game-Changing Technologies to Military Services
Pentagon event showcases more than 60 DARPA research programs-and the teamwork with the science & technology communities that make those programs possible
Ingestible origami robot
MIT News via Larry Hardesty for RoboHub: In experiments involving a simulation of the human esophagus and stomach, researchers at MIT, the University of Sheffield, and the Tokyo Institute of Technology have demonstrated a tiny origami robot that can unfold itself from a swallowed capsule and, steered by external magnetic fields, crawl across the stomach wall to remove a swallowed button battery or patch a wound.
The new work, which the researchers are presenting this week at the International Conference on Robotics and Automation, builds on a long sequence of papers on origamirobots from the research group of Daniela Rus, the Andrew and Erna Viterbi Professor in MIT’s Department of Electrical Engineering and Computer Science. Cont'd...
Vayyar Releases Walabot SDK Globally; Gives Developers the Tools to Build Great 3D Sensing Apps
Walabot SDK gives creators worldwide the ability to create content designed to track people or things, see through walls, monitor breathing, and much more
The 5 Chinese Robot Companies That Cannot be Overlooked
The robotic industry is booming in China, there are thousands of local robotic companies jump into the market, both of industrial robots and service robots.
ChemImage Partners with Carnegie Mellon Robotics Institute to Develop Conformal Imaging Technology for Real-Time On-the-Move Detection
The two groups will integrate DPCI technology into a robotic platform to evaluate the performance of DPCI when enabled with algorithms for real-time on the move (OTM) autonomous detection.
Wonder Workshop Launches Wonder League Robotics Clubs to Inspire Future Inventors
$10,000 Grant will be Awarded to District with Highest Percentage of Participating Schools
Warehouse Robotics Market is Expected to Grow at a Healthy CAGR of 11.3%, by 2020
Warehouse Robots are designed specifically to cater to functions including storage, sorting, assembling and disassembling, trans-shipment, distribution, replenishment, packaging, labeling, inspection, consolidation and so on. Mobile robots such as Automated Guided Vehicles (AGVs) and Fixed Robots including Gantry, Articulated, and so on are incorporated at various locations in a warehouse and these functions in coordination to serve the aforesaid applications.
Scientists develop bee model that will impact the development of aerial robotics
Phys.org: Scientists have built a computer model that shows how bees use vision to detect the movement of the world around them and avoid crashing. This research, published in PLOS Computational Biology, is an important step in understanding how the bee brain processes the visual world and will aid the development of robotics.
The study led by Alexander Cope and his coauthors at the University of Sheffield shows how bees estimate the speed of motion, or optic flow, of the visual world around them and use this to control their flight. The model is based on Honeybees as they are excellent navigators and explorers, and use vision extensively in these tasks, despite having a brain of only one million neurons (in comparison to the human brain's 100 billion).
The model shows how bees are capable of navigating complex environments by using a simple extension to the known neural circuits, within the environment of a virtual world. The model then reproduces the detailed behaviour of real bees by using optic flow to fly down a corridor, and also matches up with how their neurons respond. Cont'd...
CU-Boulder Team's Octopus-Inspired 'Soft' Robot Wins International Challenge
Lightweight, mobile pneumatic hand excels at grasping "mystery objects"
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