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21 Dec
0

Continuous 3D Sweep Matching with a Spinning 2D Laser

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The vehicle trajectory is estimated using laser range scans generated by a SICK LMS291 rotating at 0.5Hz mounted on a skid-steer loader. Because the spinning laser requires one second to sweep a full 3D scan, the raw point clouds are highly distorted by the vehicle motion. The sweep-matching algorithm is able to continuously correct the motion-distorted point cloud to produce a 6DoF trajectory estimate without the use of any other sensors. Details of the algorithm are published by Michael Bosse and Robert Zlot in the IEEE International Conference on Robotics and Automation 2009 under the title “Continuous 3D Scan-Matching with…

21 Dec
0

Grasping manipulation and exploration tasks with the OctArm continuum manipulator

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In the biological world, grasping, manipulation, and exploration tasks are frequently performed by tongues, trunks, and tentacles. Continuum robots such as the OctArm seek to mimic this wide range of abilities, allowing use in unstructured environments. Although a large variety of continuum robots have been developed as both commercial products and as research endeavors, video studies which concentrate on grasping, manipulation, and exploration tasks are rare. This video addresses this lack by illustrating the types of tasks for which continuum manipulators are uniquely suited. A series of outdoor and laboratory tests reveal the wide variety of novel grasping, manipulation, and…

21 Dec
0

Automatic Pick and Place of 40 Microns Silicon Parts

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Automation of the robotic microassembly is currently (2008) a high stake to be able to produce assembled microsystems (MEMS). The video shows an automatic pick-and-place of 40×40 microns silicon parts in real time. The time cycle is about 1.8 seconds which is comparable with industrial assembly process at the scale of millimeter.  

21 Dec
0

Hand bot retrieve a book

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The prototype of the hand-bot managed to successfully climb a shelf and retrieve a book autonomously. It achieved this thanks to its innovate synergy between its climbing and manipulation subsystems.  

21 Dec
0

IEEE R-AM 2011 – Hand bot climbing a shelf

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See the first climb of a shelf performed by the hand-bot. The robot launches a rope and then uses it as the main lift force. The handbot keeps its balance using its two arms which have a total of seven degrees of freedom. The Handbot detects the shelf side using infrared sensors located in its hands. The movements of the robot are fully autonomous with no remote control behind.  

21 Dec
0

Image guided robot for skull base surgery

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We developed a neurosurgical robotic system to address the challenges of neurosurgery. It uses a NeuroMate robot as a new and effective surgical tool by adding a force sensor to the tip of the robot. The basic motivation behind our project is to significantly reduce the operating time of a complex procedure—bone milling at the skull base—by providing a safer and more reliable surgical tool. The robotized solution would only be used for the removal of the bone tissue, to gain access to the soft tissue region affected by the disease. We use a preoperative image, such as CT, to…

21 Dec
0

Jaemi HUBO Humanoid robot

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The Drexel University-led research team, DASL, unveiled the newest, most central member of its collaboration with a team of Korean researchers: Jaemi, a humanoid (HUBO). Jaemi HUBO embodies efforts to advance humanoid development and enhance the concept of human-robotic interaction. The project’s goal is to enable humanoids to interact with their environment, and enhancement plans include enabling the humanoid to move over rugged terrain, in unstructured environments and to interact socially with humans and handle objects.  

21 Dec
0

Large wire driven parallel rescue crane

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The presented robot is a portable, fully autonomous wire-driven crane with 6 d.o.f. It can be deployed on site in about 10 min and has a lifting capacity of about 2 tons. This video shows also that this a communicating tool allowing doctors to get physiological information (pulse rate, type of injury) on the victims while the victim is being transferred. In the presented video the robot’s workspace is 20m X 20m x 12m  

21 Dec
0

Learning Motor Primitives for Robotics

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This video exhibits current progress in motor skill learning. It shows two tasks: paddling a ball on a string and ball-in-a-cup, which is also known as Kendama. For paddling a ball on a string, a demonstration of a human teacher is shown and the system can directly acquire this behavior by imitation learning. For ball-in-a-cup, first an imitation is demonstrated by a teacher. Subsequently, the robot attempts to reproduce the behavior but fails. Hence, the robot explores new strategies getting better most of the time — selected trials are being shown in the video. After 90-100 trials, the robot finally…

21 Dec
0

OctArm a Soft Robotic Manipulator

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Hitting and batting tasks, such as tennis forehands, ping-pong strokes, or baseball batting, can be learned using motor primitives Here, we first show how a robot is given several different forehands for imitation learning. After learning, the forehands are tried on first on a static target to show the natural smoothness and speed of the learned movement. Subsequently, they are shown to work even with balls shot by a ball gun.  

21 Dec
0

RoboCup @ Home 2009 Best of Innovation Award Winner NimbRo

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The video shows highlights from the RoboCup@Home competition, which took place in Graz, Austria, in July 2009. The RoboCup@Home league aims to develop service and assistive robot technology with high relevance for future personal domestic applications. It is the largest international annual competition for autonomous service robots. A set of benchmark tests is used to evaluate the robots abilities and performance in a realistic non-standardized home environment setting.   In the video, the domestic service robots Robotinho and Dynamaid of Team NimbRo (University of Bonn, Germany) demonstrate their skills in robust indoor navigation, object manipulation, and intuitive multimodal human-robot interaction….

21 Dec
0

Robotic Microassembly of 40 Microns Silicon Parts

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Robotic microassembly is a high stake to improve microsystems (MEMS) functionalities and modularity. The video shows a microassembly of 40×40 microns silicon parts. Piezoelectric microgripper has 4 Degree Of Freedom (DOF) – 2 for each fingers – and is placed on a 6 Degree Of Freedom (DOF) microrobot. Microgripper is used to handle the object, and to perform microassembly.  

21 Dec
0

RSN Robotic Raft

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The common carp is an invasive species of fish which poses a significant threat across the Midwest. This species pollutes lakes by uprooting plants and releasing large quantities of harmful nutrients while bottom-feeding. It is important to track and control the species — which is what Professor Peter Sorensen, a leading expert of fish behavior in the Department of Fisheries, Wildlife, and Conservation Biology at the University of Minnesota, is dedicated to doing. In an effort to study fish behavior, Dr. Sorensen’s team tags the carp with radio emitters. But the process is labor-intensive. The fish are caught and emitters…

21 Dec
1

Starbug AUV

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Starbug is an inexpensive, miniature autonomous underwater vehicle ideal for data collection and ecosystem surveys. Starbug is small enough to be launched by one person without the need for specialised equipment, such as cranes, and it operates with minimal to no human intervention. Starbug was one of the first autonomous underwater vehicles (AUVs) in the world where vision is the primary means of navigation and control.  

21 Dec
0

UAV Challenge Outback Rescue 2007

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The UAV Challenge is an Aerial Robotics competition run for high-school students, university students and hobbyists. The event started in 2007 and is held annually in Kingaroy, Queensland Australia. This video was compiled after the first event in 2007.  

21 Dec
0

Vision based Microassembly of 3D Solid and Complex MEMS

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Vision based Microassembly of 3D Solid and Complex MEMS   Contributors: B. Tamadatze, E. Marchand, S. Dembele, N. Le Fort-Plat   The video shows an automatic assembly of fives silicon microparts of 400 µm x 400 µm x 100 µm on 3-levels. Each microassembly subtask is performed using a pose-based visual control which uses a CAD model-based tracker. The assembly clearance is estimated to 3 µm that allows to obtain solid and complex micro electro-mechanical structures without any external joining (glue, wending).  

21 Dec
0

TC AgRA – Webinar 3 – The Future of Precision Farming, Designing Systems for the Farm of Tomorrow

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Simon Blackmore is a key figure in the development of Precision Farming and agricultural robotics with a world-wide reputation. He worked for twelve years in Africa and Europe before starting his academic career and now collaborates with many universities around the world to help develop Precision Farming and agricultural robotics.   Five of his most recent positions and accomplishments include: -Head of Engineering at Harper Adams University College, UK (www.harper-adams.ac.uk) -Consultant to the Precision Agriculture Research Chair at KSU in Saudi Arabia -Project manager of the EU funded Future Farm project (www.futurefarm.eu) -Founder of UniBots. (www.unibots.com) -Head of the AgroTechnology…

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