High energy efficiency biped robot controlled by the human brain for people with ALS disease

This paper analyses the adoption of novel robotic technologies to help people suffering from amyotrophic lateral sclerosis (ALS). The work starts with the analysis of problems that mostly affect these patients in order to understand where science and technology can be used to help them. In particular brain-computer interfaces and their implementation with a high energy efficiency humanoid robot for domestic assistance will be taken into account. The features that this kind of technology must have in order to satisfy the required need will be discussed, with some preliminary tests implemented in existing platforms.

[1]  Christine Connolly,et al.  Prosthetic hands from Touch Bionics , 2008, Ind. Robot.

[2]  D. Stoianovici.  Robotic surgery , 2000, World Journal of Urology.

[3]  G. R. Muller,et al.  "Virtual keyboard" controlled by spontaneous EEG activity , 2003 .

[4]  Marcello Ferro,et al.  FACE: facial automaton for conveying emotions , 2004 .

[5]  Kerstin Dautenhahn,et al.  ROBOTS AS SOCIAL ACTORS: AURORA AND THE CASE OF AUTISM , 1999 .

[6]  B. Davies,et al.  Robotic surgery , 1993, IEEE Engineering in Medicine and Biology Magazine.

[7]  Femke Nijboer,et al.  Depression and Anxiety in Individuals with Amyotrophic Lateral Sclerosis , 2007, CNS drugs.

[8]  G. Sung,et al.  Robotic laparoscopic surgery: a comparison of the DA Vinci and Zeus systems. , 2001, Urology.

[9]  M J Murphy,et al.  The Cyberknife: a frameless robotic system for radiosurgery. , 1997, Stereotactic and functional neurosurgery.

[10]  Pietro Valdastri,et al.  A miniaturized wireless control platform for robotic capsular endoscopy using advanced pseudokernel approach , 2009 .

[11]  Paolo Dario,et al.  Implementation of a bio-inspired visual tracking model on the iCub robot , 2010, 19th International Symposium in Robot and Human Interactive Communication.

[12]  J. Mourino,et al.  Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[13]  Paolo Dario,et al.  A method for the calculation of the effective Center of Mass of humanoid robots , 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

[14]  M. Nuttin,et al.  A brain-actuated wheelchair: Asynchronous and non-invasive Brain–computer interfaces for continuous control of robots , 2008, Clinical Neurophysiology.

[15]  M. S. Nathan,et al.  The Probot—an active robot for prostate resection , 1997, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[16]  Matteo Zoppi,et al.  Design of multi-degrees-of-freedom dexterous modular arm instruments for minimally invasive surgery , 2012, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[17]  Miguel A L Nicolelis,et al.  Controlling robots with the mind. , 2002, Scientific American.

[18]  H. van der Kooij,et al.  Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[19]  Paolo Dario,et al.  A Comparison between Two Force-Position Controllers with Gravity Compensation Simulated on a Humanoid Arm , 2013, J. Robotics.

[20]  Miguel A. L. Nicolelis,et al.  Brain–machine interfaces: past, present and future , 2006, Trends in Neurosciences.

[21]  Li-Ming Su,et al.  The RoboConsultant: telementoring and remote presence in the operating room during minimally invasive urologic surgeries using a novel mobile robotic interface. , 2007, Urology.

[22]  Gernot R. Müller-Putz,et al.  "Virtual keyboard" controlled by spontaneous EEG activity , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[23]  Jon A. Mukand,et al.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.

[24]  John F. Steiner,et al.  Descriptions of Barriers to Self-Care by Persons with Comorbid Chronic Diseases , 2003, The Annals of Family Medicine.

[25]  Christian Cipriani,et al.  Progress towards the development of the SmartHand transradial prosthesis , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[26]  C. Recchiuto,et al.  A robotic social reciprocity in children with autism spectrum disorder , 2013, ICSR 2013.

[27]  Tamim Asfour,et al.  ARMAR-III: An Integrated Humanoid Platform for Sensory-Motor Control , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

[28]  S. Shamsuddin,et al.  Initial response of autistic children in human-robot interaction therapy with humanoid robot NAO , 2012, 2012 IEEE 8th International Colloquium on Signal Processing and its Applications.

[29]  Hermano Igo Krebs,et al.  MIT-MANUS: a workstation for manual therapy and training. I , 1992, [1992] Proceedings IEEE International Workshop on Robot and Human Communication.

[30]  José del R. Millán,et al.  Noninvasive brain-actuated control of a mobile robot by human EEG , 2004, IEEE Transactions on Biomedical Engineering.

[31]  Nicu Sebe,et al.  Content-based multimedia information retrieval: State of the art and challenges , 2006, TOMCCAP.

[32]  K. Drexler.  Nanotechnology: From Feynman to Funding , 2004 .

[33]  Qingguo Li,et al.  Biomechanical energy harvesting: Apparatus and method , 2008, 2008 IEEE International Conference on Robotics and Automation.

[34]  Fabien Courreges,et al.  Robotized Tele-echography , 2008 .

[35]  Cory D. Kidd,et al.  A sociable robot to encourage social interaction among the elderly , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[36]  Paolo Dario,et al.  Towards an Improvement of the SABIAN Humanoid Robot: from Design to Optimization , 2012 .

[37]  David M. Santucci,et al.  Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates , 2003, PLoS biology.