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Apr 11, 2007

MOBI

From Networked Performance

mobi.jpg



MOBI (Mobile Operating Bi-directional Interface), by Graham Smith, is a human sized telepresence robot that users remotely control to move through distant environments, see through its camera eye, talk through its speakers and hear via its microphone ear. Simultaneously a life sized image of themselves is projected onto the robots LCD face, creating a robotic avatar. MOBI allows people to "explore far away art shows, attend distant presentations and make public appearences from anywhere on earth, thus helping to reduce air travel and reduce global warming". MOBI is at DEAF 07.

Graham Smith is a leading expert in the fields of telepresence, virtual reality, videoconferencing and robotics. He has worked with leading Canadian high tech companies for more than 14 years, including Nortel, Vivid Effects, VPL, BNR and IMAX. Graham initiated and headed the Virtual Reality Artist Access Program at the world-renowned McLuhan Program at the University of Toronto, and has lectured internationally. He holds numerous patents in the field of telepresence and panoramic imaging, and was recognized in Macleans magazine as one of the top 100 Canadians to watch
.

Mar 16, 2007

Socially assistive robotics for post-stroke rehabilitation

Journal of NeuroEngineering and Rehabilitation

Maja J Matari

Background: Although there is a great deal of success in rehabilitative robotics applied to patient recovery post stroke, most of the research to date has dealt with providing physical assistance. However, new rehabilitation studies support the theory that not all therapy need be hands-on. We describe a new area, called socially assistive robotics, that focuses on non-contact patient/user assistance. We demonstrate the approach with an implemented and tested post-stroke recovery robot and discuss its potential for effectiveness. Results: We describe a pilot study involving an autonomous assistive mobile robot that aids stroke patient rehabilitation by providing monitoring, encouragement, and reminders. The robot navigates autonomously, monitors the patient's arm activity, and helps the patient remember to follow a rehabilitation program. We also show preliminary results from a follow-up study that focused on the role of robot physical embodiment in a rehabilitation context. Conclusion: We outline and discuss future experimental designs and factors toward the development of effective socially assistive post-stroke rehabilitation robots.

Robot/computer-assisted motivating systems for personalized, home-based, stroke rehabilitation

 
Michelle J Johnson, Xin Feng, Laura M Johnson and Jack M Winters
 
Background: There is a need to improve semi-autonomous stroke therapy in home environments often characterized by low supervision of clinical experts and low extrinsic motivation. Our distributed device approach to this problem consists of an integrated suite of low-cost robotic/computer-assistive technologies driven by a novel universal access software framework called UniTherapy. Our design strategy for personalizing the therapy, providing extrinsic motivation and outcome assessment is presented and evaluated. Methods: Three studies were conducted to evaluate the potential of the suite. A conventional force-reflecting joystick, a modified joystick therapy platform (TheraJoy), and a steering wheel platform (TheraDrive) were tested separately with the UniTherapy software. Stroke subjects with hemiparesis and able-bodied subjects completed tracking activities with the devices in different positions. We quantify motor performance across subject groups and across device platforms and muscle activation across devices at two positions in the arm workspace. Results: Trends in the assessment metrics were consistent across devices with able-bodied and high functioning strokes subjects being significantly more accurate and quicker in their motor performance than low functioning subjects. Muscle activation patterns were different for shoulder and elbow across different devices and locations. Conclusion: The Robot/CAMR suite has potential for stroke rehabilitation. By manipulating hardware and software variables, we can create personalized therapy environments that engage patients, address their therapy need, and track their progress. A larger longitudinal study is still needed to evaluate these systems in under-supervised environments such as the home.

Feb 25, 2007

Grand challenges proposed by the U.K. Computing Research Committee

Re-blogged from KurzweilAI.net 

 

Grand challenges proposed by the U.K. Computing Research Committee include a project to unify cognitive science, artificial intelligence, and robotics.

One sign of success would be a robot capable of functioning at the level of a 2- to 5-year-old child. Another milestone could be a robot capable of autonomously helping a disabled person around a house without explicit preprogramming about its environment.

Other challenge is intended to create more dependable computers and associated software systems, which oversee the bulk of the world's financial transactions, regulate life-saving instruments, and manage the delivery of products.

 


Read Original Article>>

Socially assistive robotics for post-stroke rehabilitation

Socially assistive robotics for post-stroke rehabilitation

By Maja J Mataric', Jon Eriksson, David J Feil-Seifer and Carolee J Winstein, Journal of NeuroEngineering and Rehabilitation

Background: Although there is a great deal of success in rehabilitative robotics applied to patient recovery post-stoke, most of the rehabilitation research to date has dealt with providing physical assistance. However, new studies support the theory that not all therapy need be hands-on. We describe a new area, called socially assistive robotics, that focuses on non-contact patient/user assistance. We demonstrate the approach with an implemented and tested post-stroke recovery robot and discuss its potential for effectiveness. Results: We describe a pilot study involving an autonomous assistive mobile robot that aids stoke patient rehabilitation by providing monitoring, encouragement, and reminders. The robot navigates autonomously, monitors the patient's arm activity, and helps the patient remember to follow a rehabilitation program. We also show preliminary results from a follow-up study that studied the role of robot physical embodiment in a rehabilitation context. Conclusions: Future experimental design and factors that will be considered in order to develop effective socially assistive post-stroke rehabilitation robot are outlined and discussed.

 

Jan 24, 2007

Robotics and virtual reality

Robotics and virtual reality: a perfect marriage for motor control research and rehabilitation.

Assist Technol. 2006;18(2):181-95

Authors: Patton J, Dawe G, Scharver C, Mussa-Ivaldi F, Kenyon R

This article's goal is to outline the motivations, progress, and future objectives for the development of a state-of-the-art device that allows humans to visualize and feel synthetic objects superimposed on the physical world. The programming flexibility of these devices allows for a variety of scientific questions to be answered in psychology, neurophysiology, rehabilitation, haptics, and automatic control. The benefits are most probable in rehabilitation of brain-injured patients, for whom the costs are high, therapist time is limited, and repetitive practice of movements has been shown to be beneficial. Moreover, beyond simple therapy that guides, strengthens, or stretches, the technology affords a variety of exciting potential techniques that can combine our knowledge of the nervous system with the tireless, precise, and swift capabilities of a robot. Because this is a prototype, the system will also guide new experimental methods by probing the levels of quality that are necessary for future design cycles and related technology. Very important to the project is the early and intimate involvement of therapists and other clinicians in the design of software and its user interface. Inevitably, it should also lead the way to new modes of practice and to the commercialization of haptic/graphic systems.

Biofeedback for robotic gait rehabilitation

Biofeedback for robotic gait rehabilitation

Journal of NeuroEngineering and Rehabilitation

By Lars Lunenburger, Gery Colombo and Robert Riener

Background: Development and increasing acceptance of rehabilitation robots as well as advances in technology allow new forms of therapy for patients with neurological disorders. Robot-assisted gait therapy can increase the training duration and the intensity for the patients while reducing the physical strain for the therapist. Optimal training effects during gait therapy generally depend on appropriate feedback about performance. Compared to manual treadmill therapy, there is a loss of physical interaction between therapist and patient with robotic gait retraining. Thus, it is difficult for the therapist to assess the necessary feedback and instructions. The aim of this study was to define a biofeedback system for a gait training robot and test its usability in subjects without neurological disorders. Methods: To provide an overview of biofeedback and motivation methods applied in gait rehabilitation, previous publications and results from our own research are reviewed. A biofeedback method is presented showing how a rehabilitation robot can assess the patients' performance and deliver augmented feedback. For validation, three subjects without neurological disorders walked in a rehabilitation robot for treadmill training. Several training parameters, such as body weight support and treadmill speed, were varied to assess the robustness of the biofeedback calculation to confounding factors. Results: The biofeedback values correlated well with the different activity levels of the subjects. Changes in body weight support and treadmill velocity had a minor effect on the biofeedback values. The synchronization of the robot and the treadmill affected the biofeedback values describing the stance phase. Conclusions: Robot-aided assessment and feedback can extend and improve robot-aided training devices. The presented method estimates the patients' gait performance with the use of the robot's existing sensors, and displays the resulting biofeedback values to the patients and therapists. The therapists can adapt the therapy and give further instructions to the patients. The feedback might help the patients to adapt their movement patterns and to improve their motivation. While it is assumed that these novel methods also improve training efficacy, the proof will only be possible with future in-depth clinical studies.

Jan 15, 2007

The University of Washington Neural Systems Lab have created a humanoid robot you can control with your thoughts.

Via Mind Hacks

medium_UWNSL_robot.jpg

 

 

 

 

 

Researchers at the University of Washington Neural Systems Lab have created a humanoid robot you can control with your thoughts via a EEG-based non-invasive brain-computer interface.

 

Link to Neural Systems Lab robot info page

 

Jan 07, 2007

Scientists have designed and built an immersive table tennis simulation that allows a human to compete against a computer

Via KurzweilAI.net

Scientists have designed and built an immersive table tennis simulation that allows a human to compete against a computer..

Link

Dec 30, 2006

Evolved Virtual Creatures

Via Suicide Bots

From the Evolved Virtual Creatures website

This video shows results from a research project involving simulated Darwinian evolutions of virtual block creatures. A population of several hundred creatures is created within a supercomputer, and each creature is tested for their ability to perform a given task, such the ability to swim in a simulated water environment. Those that are most successful survive, and their virtual genes containing coded instructions for their growth, are copied, combined, and mutated to make offspring for a new population. The new creatures are again tested, and some may be improvements on their parents. As this cycle of variation and selection continues, creatures with more and more successful behaviors can emerge.

The creatures shown are results from many independent simulations in which they were selected for swimming, walking, jumping, following, and competing for control of a green cube.

Download movie from the Internet Archive

swimming

Dec 22, 2006

Recent trends in robot-assisted therapy environments

Recent trends in robot-assisted therapy environments to improve real-life functional performance of affected limbs.

J Neuroengineering Rehabil. 2006 Dec 18;3(1):29

Authors: Johnson MJ

ABSTRACT: Upper and lower limb robotic tools for neuro-rehabilitation are effective in reducing motor impairment but they are limited in their ability to improve real world function. There is a need to improve functional outcomes after robot-assisted therapy. Improvements in the effectiveness of these environments may be achieved by incorporating into their design and control strategies important elements key to inducing motor learning and cerebral plasticity such as mass-practice, feedback, task-engagement, and complex problem solving. This special issue presents nine articles. The novel strategies covered in this issue encourage more natural movements through the use of virtual reality and real objects and faster motor learning through the use of error feedback to guide acquisition of natural movements that are salient to real activities. In addition, several articles describe novel systems and techniques that use of custom and commercial games combined with new low-cost robot systems and a humanoid robot to embody the supervisory presence of the therapy as possible solutions to exercise compliance in under-supervised environments such as the home.

Dec 18, 2006

Researchers demonstrate EEG control of humanoid robot

Via ScienceDaily

University of Washington researchers have developed a brain-computer interface that allows humans to control the actions of robots through commands generated by analysis of EEG signals


Link 

Nov 11, 2006

Computer- and robot-aided head surgery

Computer- and robot-aided head surgery.

Acta Neurochir Suppl. 2006;98:51-61

Authors: Wörn H

In this paper new methods and devices for computer and robot based head surgery are presented. A computer based planning system for CMF-surgery allows the surgeon to plan complex trajectories on the head of the patient for operations where bone segments were cut out and shifted. Different registration methods have been developed and tested. A surgical robot system for bone cutting on the head has been developed and evaluated at the patient in the operating theatre. In future, laser cutting of bones with a robot will be seen as a new powerful method for robot based surgery. A 3D augmented reality system will assist the surgeon in the future by augmenting virtual anatomical structure into the situs.

Nov 01, 2006

HAL

Via Engadget

HAL (short for Hybrid Assistive Limb) is a robotic suite designed "to expand and improve physical capabilities of human being".

The system, a brainchild of Yoshiyuki Sankai, engineering professor at Tsukuba University, is getting ready for mass production, Engadget reports. The  robotic suite could be used in applications such as "walking assistance and rehabilitation, nursing, factory work and disaster relief."  

HAL is originally developed to help elderly or disabled people walk around with their own legs and HAL-3 achieved the primary goal in 2000.

In 2005, the latest model HAL-5 was given upper body limbs as well as weight saving and more compact POWER units, longer life battery and much smaller control unit and spectacularly designed outer shells.

HAL is a robot suit which can expand and improve physical capabilities of human being. By wearing HAL-5 and you can hold up to 40 kg load by arms and can increase the maximum weight of leg press from 100 kg to 180 kg.

 

Read more at Engadget

Oct 30, 2006

Vision-body link tested in robot experiments

Re-blogged from KurzweilAI.net

"Embodied cognition" experiments involving real and simulated robots suggest that the relationship between physical movement and sensory input could be crucial to developing more intelligent machines...

Read the full article

Oct 27, 2006

PaPeRo Robot Childcare In Japan

Via Technovelgy 

NEC and NTT have jointly produced PaPeRo (short for Partner-type Personal Robot), the latest of a series of domestic robots. PaPeRo uses a camera in each eye to navigate and has image recognition capabilities to track and identify individual children. Further, it is equipped with a mobile phone that allows parents to control him at distance, as well as to talk to children directly or with text messages

 

Vision-body link tested in robot experiments

Via New Scientist Tech

Tests involving real and simulated robots suggest the relationship between physical movement and sensory input could be crucial to create smarter machines...

Read the full story

Oct 11, 2006

Robotic Whiskers Can Sense Three-Dimensional Environment

Re-blogged from Robots.net

rat whiskers

© 2006 Northwestern University 

Two Northwestern University engineers have developed an array of robotic whiskers that sense in two dimensions, mimicking the capabilities of mammalian whiskers. The bending moment, or torque, at the whisker base is then used to calculate the three-dimensional features of solid objects.

Read the full story here

21:34 Posted in AI & robotics | Permalink | Comments (0) | Tags: robotics

Oct 06, 2006

fMRI-compatible rehabilitation hand device

fMRI-compatible rehabilitation hand device

Journal of Neuroengineering and Rehabilitation (October 2006)  

Authors: Azadeh Khanicheh, Andrew Muto, Christina Triantafyllou, Brian Weinberg, Loukas Astrakas, Aria Tzika and Constantinos Mavroidis

Background: Functional magnetic resonance imaging (fMRI) has been widely used in studying human brain functions and neurorehabilitation. In order to develop complex and well-controlled fMRI paradigms, interfaces that can precisely control and measure output force and kinematics of the movements in human subjects are needed. Optimized state-of-the-art fMRI methods, combined with magnetic resonance (MR) compatible robotic devices for rehabilitation, can assist therapists to quantify, monitor, and improve physical rehabilitation. To achieve this goal, robotic or mechatronic devices with actuators and sensors need to be introduced into an MR environment. The common standard mechanical parts can not be used in MR environment and MR compatibility has been a tough hurdle for device developers. Methods: This paper presents the design, fabrication and preliminary testing of a novel, one degree of freedom, MR compatible, computer controlled, variable resistance hand device that may be used in brain MR imaging during hand grip rehabilitation. We named the device MR_CHIROD (Magnetic Resonance Compatible Smart Hand Interfaced Rehabilitation Device). A novel feature of the device is the use of Electro-Rheological Fluids (ERFs) to achieve tunable and controllable resistive force generation. ERFs are fluids that experience dramatic changes in rheological properties, such as viscosity or yield stress, in the presence of an electric field. The device consists of four major subsystems: a) an ERF based resistive element; b) a gearbox; c) two handles and d) two sensors, one optical encoder and one force sensor, to measure the patient induced motion and force. The smart hand device is designed to resist up to 50% of the maximum level of gripping force of a human hand and be controlled in real time. Results: Laboratory tests of the device indicate that it was able to meet its design objective to resist up to approximately 50% of the maximum handgrip force. The detailed compatibility tests demonstrated that there is neither an effect from the MR environment on the ERF properties and performance of the sensors, nor significant degradation on MR images by the introduction of the MR_CHIROD in the MR scanner. Conclusions: The MR compatible hand device was built to aid in the study of brain function during generation of controllable and tunable force during handgrip exercising. The device was shown to be MR compatible. To the best of our knowledge, this is the first system that utilizes ERF in MR environment.

Oct 02, 2006

Japan to invest US$17.4 million in robotics research

Via Pink Tentacle

Asimo

Japan’s Ministry of Economy, Trade and Industry (METI) will invest over 2 billion yen (US$17.4 million) to support the development of intelligent robots that rely on their own decision-making skills in the workplace.

The objective of METI’s robot budget is to support the development of key artificial intelligence technology for robots over the next 5 years, with the goal of introducing intelligent robots to the market by 2015.