Rajiv Ranganathan

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Differential control of task and null space variability in response to changes in task difficulty when learning a bimanual steering task

Rakshith Lokesh, Rajiv Ranganathan, 2019, Experimental Brain Research.

Controlling a robotic arm for functional tasks using a wireless head-joystick: A case study of a child with congenital absence of upper and lower limbs

Rajiv Ranganathan, Sanders Aspelund, Priya Patel, 2020, PloS one.

The Body-Machine Interface: A New Perspective on an Old Theme

Rajiv Ranganathan, Maura Casadio, Ferdinando A Mussa-Ivaldi, 2012, Journal of motor behavior.

Learning new gait patterns: Exploratory muscle activity during motor learning is not predicted by motor modules.

Rajiv Ranganathan, Chandramouli Krishnan, Yasin Y. Dhaher, 2016, Journal of biomechanics.

Online feedback and the regulation of degrees of freedom in motor control.

Rajiv Ranganathan, Karl M Newell, K. Newell, 2008, Human movement science.

High variability impairs motor learning regardless of whether it affects task performance

Rajiv Ranganathan, Maura Casadio, Marco Cardis, 2017 .

A tale of too many tasks: task fragmentation in motor learning and a call for model task paradigms

Rakshith Lokesh, Rajiv Ranganathan, Tzu-Hsiang Lin, 2020, Experimental Brain Research.

Influence of motor learning on utilizing path redundancy

Rajiv Ranganathan, Karl M. Newell, K. Newell, 2010, Neuroscience Letters.

Motor variability prior to learning is a poor predictor of the ability to adopt new movement solutions

Rakshith Lokesh, Rajiv Ranganathan, Mei-Hua Lee, 2020, bioRxiv.

Individual differences in the exploration of a redundant space-time motor task

Rajiv Ranganathan, Adam C. King, Karl M. Newell, 2012, Neuroscience Letters.

Perception-Action Coupling and Anticipatory Performance in Baseball Batting

Rajiv Ranganathan, Les G Carlton, L. Carlton, 2007, Journal of motor behavior.

Adaptation to visual feedback delay in a redundant motor task.

Rajiv Ranganathan, Maura Casadio, Ferdinando A Mussa-Ivaldi, 2015, Journal of neurophysiology.

Extracting synergies in gait: using EMG variability to evaluate control strategies.

Rajiv Ranganathan, Chandramouli Krishnan, R. Ranganathan, 2012, Journal of neurophysiology.

Demo: Towards Immersive and Interactive Gym Exercises

Rajiv Ranganathan, Mi Zhang, Youngki Lee, 2016, MobiSys '16 Companion.

Controlling a robotic arm for functional tasks using a wireless head-joystick: A case study of a child with congenital absence of upper and lower limbs

Rajiv Ranganathan, Sanders Aspelund, Mei-Hua Lee, 2019, bioRxiv.

Motor synergies: feedback and error compensation within and between trials

Rajiv Ranganathan, Karl M. Newell, K. Newell, 2008, Experimental Brain Research.

Instructions as constraints in motor skill acquisition

Rajiv Ranganathan, Karl M. Newell, 2010 .

Sensory Agreement Guides Kinetic Energy Optimization of Arm Movements during Object Manipulation

Rajiv Ranganathan, Ferdinando A. Mussa-Ivaldi, Todd D. Murphey, 2016, PLoS Comput. Biol..

Motor Learning through Induced Variability at the Task Goal and Execution Redundancy Levels

Rajiv Ranganathan, Karl M Newell, 2010, Journal of motor behavior.

High variability impairs motor learning regardless of whether it affects task performance

Rajiv Ranganathan, Maura Casadio, Marco Cardis, 2017, bioRxiv.

Practice modifies the response to errors during a novel motor sequence learning task

Rajiv Ranganathan, Dhanush Rachaveti, Varadhan SKM, 2020, bioRxiv.

Organizing and Reorganizing Coordination Patterns.

Rajiv Ranganathan, Robert A Scheidt, R. Ranganathan, 2016, Advances in experimental medicine and biology.

Influence of Augmented Feedback on Coordination Strategies

Rajiv Ranganathan, Karl M. Newell, K. Newell, 2009, Journal of motor behavior.

Detecting Compensatory Trunk Movements in Stroke Survivors using a Wearable System

Rui Wang, Rajiv Ranganathan, Subir Biswas, 2017, WearSys@MobiSys.

Haptic assistance that restricts use of redundant solutions is detrimental to motor learning

Rakshith Lokesh, Rajiv Ranganathan, R. Ranganathan, 2019, bioRxiv.

A five degree-of-freedom body-machine interface for children with severe motor impairments

Rajiv Ranganathan, Ranjan Mukherjee, Sanders Aspelund, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning alternative movement coordination patterns using reinforcement feedback

Rajiv Ranganathan, Tzu-Hsiang Lin, Amber Denomme, 2018, Experimental Brain Research.

Towards a first-reflection ultrasonic sensor array for compensatory movement identification in stroke sufferers

Rajiv Ranganathan, Henry Griffith, Subir Biswas, 2016, 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC).

Learning Redundant Motor Tasks with and without Overlapping Dimensions: Facilitation and Interference Effects

Rajiv Ranganathan, Ferdinando A Mussa-Ivaldi, Robert A Scheidt, 2014, The Journal of Neuroscience.

Haptic Assistance That Restricts the Use of Redundant Solutions is Detrimental to Motor Learning

Rakshith Lokesh, Rajiv Ranganathan, R. Ranganathan, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Instructions as constraints in motor skill acquisition

Rajiv Ranganathan, Karl M. Newell, K. Newell, 2010 .

Changing Up the Routine: Intervention-Induced Variability in Motor Learning

Rajiv Ranganathan, Karl M Newell, K. Newell, 2013, Exercise and sport sciences reviews.

On The Precision Of Markerless 3d Semantic Features: An Experimental Study On Violin Playing

Rajiv Ranganathan, Francesca Odone, Maura Casadio, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Kinetic Comparison among the Fastball, Curveball, Change-up, and Slider in Collegiate Baseball Pitchers

Rajiv Ranganathan, Shouchen Dun, Glenn S Fleisig, 2006, The American journal of sports medicine.

Emergent flexibility in motor learning

Rajiv Ranganathan, Karl M. Newell, K. Newell, 2010, Experimental Brain Research.

Body-Machine Interface Enables People With Cervical Spinal Cord Injury to Control Devices With Available Body Movements: Proof of Concept

Rajiv Ranganathan, Maura Casadio, Camilla Pierella, 2017, Neurorehabilitation and neural repair.

Active robotic training improves locomotor function in a stroke survivor

Rajiv Ranganathan, William Z Rymer, Chandramouli Krishnan, 2012, Journal of NeuroEngineering and Rehabilitation.

Development of an EMG-Controlled Serious Game for Rehabilitation

Derek G. Kamper, Rajiv Ranganathan, Ferdinando A. Mussa-Ivaldi, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Anodal Transcranial Direct Current Stimulation Alters Elbow Flexor Muscle Recruitment Strategies

Rajiv Ranganathan, Yasin Y. Dhaher, Chandramouli Krishnan, 2014, Brain Stimulation.

Grasping possibilities for action: influence of object function and action capabilities.

Rajiv Ranganathan, Karl M Newell, K. Newell, 2011, Human movement science.

Learning to be Lazy: Exploiting Redundancy in a Novel Task to Minimize Movement-Related Effort

Rajiv Ranganathan, Ferdinando A Mussa-Ivaldi, F. Mussa-Ivaldi, 2013, The Journal of Neuroscience.

Recurrence quantification analysis of surface electromyogram supports alterations in motor unit recruitment strategies by anodal transcranial direct current stimulation.

Rajiv Ranganathan, Chandramouli Krishnan, Anirban Dutta, 2015, Restorative neurology and neuroscience.

The body–machine interface: a pathway for rehabilitation and assistance in people with movement disorders

Rajiv Ranganathan, Maura Casadio, Ferdinando A Mussa-Ivaldi, 2013, Expert review of medical devices.

A Pilot Study on the Feasibility of Robot-Aided Leg Motor Training to Facilitate Active Participation

Rajiv Ranganathan, Yasin Y. Dhaher, Chandramouli Krishnan, 2013, PloS one.