Exploring Stiffness Modulation in Prosthetic Hands and Its Perceived Function in Manipulation and Social Interaction
暂无分享,去创建一个
Giorgio Grioli | Antonio Bicchi | Manuel G. Catalano | Cristina Piazza | Patricia Capsi-Morales | A. Bicchi | G. Grioli | M. Catalano | P. Capsi-Morales | C. Piazza
[1] Manuel G. Catalano,et al. A synergy-driven approach to a myoelectric hand , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).
[2] Marco Santello,et al. Improving Fine Control of Grasping Force during Hand–Object Interactions for a Soft Synergy-Inspired Myoelectric Prosthetic Hand , 2018, Front. Neurorobot..
[3] Toshio Tsuji,et al. Bio-mimetic impedance control of an EMG-controlled prosthetic hand , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).
[4] Oluwarotimi Williams Samuel,et al. Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses , 2019, Comput. Methods Programs Biomed..
[5] H. H. Sears,et al. PROPORTIONAL MYOELECTRIC HAND CONTROL: AN EVALUATION , 1991, American journal of physical medicine & rehabilitation.
[6] Mark L. Latash,et al. Independent control of joint stiffness in the framework of the equilibrium-point hypothesis , 1993, Biological Cybernetics.
[7] E. Biddiss,et al. Upper limb prosthesis use and abandonment: A survey of the last 25 years , 2007, Prosthetics and orthotics international.
[8] D. Atkins,et al. Epidemiologic Overview of Individuals with Upper-Limb Loss and Their Reported Research Priorities , 1996 .
[9] J. B. Brooke,et al. SUS: A 'Quick and Dirty' Usability Scale , 1996 .
[10] Allison M. Okamura,et al. Identifying the role of proprioception in upper-limb prosthesis control: Studies on targeted motion , 2010, TAP.
[11] J R Flanagan,et al. The Role of Internal Models in Motion Planning and Control: Evidence from Grip Force Adjustments during Movements of Hand-Held Loads , 1997, The Journal of Neuroscience.
[12] Manuel G. Catalano,et al. Adaptive synergies for the design and control of the Pisa/IIT SoftHand , 2014, Int. J. Robotics Res..
[13] Nicola Vitiello,et al. NEUROExos: A variable impedance powered elbow exoskeleton , 2011, 2011 IEEE International Conference on Robotics and Automation.
[14] D. Farina,et al. Prosthetic Myoelectric Control Strategies: A Clinical Perspective , 2014, Current Surgery Reports.
[15] C. Ghez,et al. EMG patterns in antagonist muscles during isometric contraction in man: Relations to response dynamics , 2004, Experimental Brain Research.
[16] Dario Farina,et al. A musculoskeletal model of human locomotion driven by a low dimensional set of impulsive excitation primitives , 2013, Front. Comput. Neurosci..
[17] Alessandro De Luca,et al. Robot Collisions: A Survey on Detection, Isolation, and Identification , 2017, IEEE Transactions on Robotics.
[18] Jonathon W. Sensinger,et al. User-Modulated Impedance Control of a Prosthetic Elbow in Unconstrained, Perturbed Motion , 2008, IEEE Transactions on Biomedical Engineering.
[19] Manuel G. Catalano,et al. Toward Dexterous Manipulation With Augmented Adaptive Synergies: The Pisa/IIT SoftHand 2 , 2018, IEEE Transactions on Robotics.
[20] Stefano Stramigioli,et al. Stiffness and position control of a prosthetic wrist by means of an EMG interface , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[21] Kristin Østlie,et al. Prosthesis rejection in acquired major upper-limb amputees: a population-based survey , 2012, Disability and rehabilitation. Assistive technology.
[22] Neville Hogan. PROSTHESES SHOULD HAVE ADAPTIVELY CONTROLLABLE IMPEDANCE , 1983 .
[23] O. Stavdahl,et al. Control of Upper Limb Prostheses: Terminology and Proportional Myoelectric Control—A Review , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[24] Neville Hogan,et al. Impedance Control: An Approach to Manipulation: Part I—Theory , 1985 .
[25] Paul L Gribble,et al. Role of cocontraction in arm movement accuracy. , 2003, Journal of neurophysiology.
[26] Henriette Cramer,et al. ‘Give me a hug’: the effects of touch and autonomy on people's responses to embodied social agents , 2009, Comput. Animat. Virtual Worlds.
[27] Hui Wang,et al. Pattern recognition of electromyography signals based on novel time domain features for amputees' limb motion classification , 2017, Comput. Electr. Eng..
[28] Domenico Prattichizzo,et al. Grasp Stiffness Control in Robotic Hands Through Coordinated Optimization of Pose and Joint Stiffness , 2018, IEEE Robotics and Automation Letters.
[29] D J Ostry,et al. Compensation for interaction torques during single- and multijoint limb movement. , 1999, Journal of neurophysiology.
[30] N. Hogan. Adaptive control of mechanical impedance by coactivation of antagonist muscles , 1984 .
[31] Alessandro De Luca,et al. Collision Detection and Safe Reaction with the DLR-III Lightweight Manipulator Arm , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[32] Matteo Bianchi,et al. The SoftHand Pro: Functional evaluation of a novel, flexible, and robust myoelectric prosthesis , 2018, PloS one.
[33] Giorgio Grioli,et al. The Quest for Natural Machine Motion: An Open Platform to Fast-Prototyping Articulated Soft Robots , 2017, IEEE Robotics & Automation Magazine.
[34] D. Ostry,et al. Independent coactivation of shoulder and elbow muscles , 1998, Experimental Brain Research.
[35] Nikolaos G. Tsagarakis,et al. Teleimpedance control of a synergy-driven anthropomorphic hand , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[36] Monica Malvezzi,et al. The Role of Closed-Loop Hand Control in Handshaking Interactions , 2019, IEEE Robotics and Automation Letters.
[37] Dario Farina,et al. The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[38] A. G. Feldman. Once More on the Equilibrium-Point Hypothesis (λ Model) for Motor Control , 1986 .
[39] M. Latash,et al. Testing hypotheses and the advancement of science: recent attempts to falsify the equilibrium point hypothesis , 2005, Experimental Brain Research.
[40] Nicolas Y. Masse,et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm , 2012, Nature.
[41] Agnes Roby-Brami,et al. Upper-Limb Robotic Exoskeletons for Neurorehabilitation: A Review on Control Strategies , 2016, IEEE Reviews in Biomedical Engineering.
[42] J. F. Soechting,et al. Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.
[43] Allison M. Okamura,et al. Task-dependent impedance and implications for upper-limb prosthesis control , 2014, Int. J. Robotics Res..
[44] Cosimo Della Santina,et al. Design and Assessment of Control Maps for Multi-Channel sEMG-Driven Prostheses and Supernumerary Limbs , 2019, Front. Neurorobot..
[45] Brian R. Duffy,et al. Anthropomorphism and the social robot , 2003, Robotics Auton. Syst..
[46] Rieko Osu,et al. Short- and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG. , 2002, Journal of neurophysiology.