@proceedings {1828, title = {A Ball and Beam Module for a Haptic Paddle Education Platform}, year = {2017}, month = {10/2017}, publisher = {ASME}, address = {Tysons, VA}, abstract = {
Single degree of freedom force-feedback mechatronic devices,\ often called haptic paddles, are used in university curriculum
as well as massive open online courses (MOOCs). While devices\ differ based on the goals of a given course, broadly speaking
they provide hands-on learning for students studying mechatronics\ and dynamics. We introduce the third iteration of the
Haptic Paddle at Rice University, which has been modified to\ improve haptic performance and robustness. The modifications
to the design increased device up time as well as the devices Z-width.\ The performance improvement enables the addition of
experimental plants to the haptic paddle base, which can be directed\ at advanced dynamics and controls courses, or special
topics in mechatronics and haptics. The first module, a Haptic\ Ball and Beam, adds an underactuated plant for teleoperation or
more complex control structures, and a testbed for haptic motor\ learning experiments in undergraduate coursework.
}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/DSCC_BB_HP_Platform-min.pdf}, author = {Rose, Chad G. and Bucki, Nathan L. and O{\textquoteright}Malley, Marcia K.} } @proceedings {1820, title = {Design and characterization of the OpenWrist: A robotic wrist exoskeleton for coordinated hand-wrist rehabilitation}, year = {2017}, month = {07/2017}, publisher = {IEEE}, address = {London, UK}, abstract = {

Robotic devices have been clinically verified for use in long duration and high intensity rehabilitation needed for motor recovery after neurological injury. Targeted and coordinated hand and wrist therapy, often overlooked in rehabilitation robotics, is required to regain the ability to perform activities of daily living. To this end, a new coupled hand-wrist exoskeleton has been designed. This paper details the design of the wrist module and several human-related considerations made to maximize its potential as a coordinated hand-wrist device. The serial wrist mechanism has been engineered to facilitate donning and doffing for impaired subjects and to insure compatibility with the hand module in virtual and assisted grasping tasks. Several other practical requirements have also been addressed, including device ergonomics, clinician-friendliness, and ambidextrous reconfigurability. The wrist module{\textquoteright}s capabilities as a rehabilitation device are quantified experimentally in terms of functional workspace and dynamic properties. Specifically, the device possesses favorable performance in terms of range of motion, torque output, friction, and closed-loop position bandwidth when compared with existing devices. The presented wrist module{\textquoteright}s performance and operational considerations support its use in a wide range of future clinical investigations.

}, isbn = {978-1-5386-2296-4}, doi = {10.1109/ICORR.2017.8009333}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/0263_0.pdf}, author = {Pezent, Evan and Rose, Chad G. and Deshpande, Ashish D and O{\textquoteright}Malley, Marcia K} } @proceedings {1818, title = {Estimating anatomical wrist joint motion with a robotic exoskeleton}, year = {2017}, month = {07/2017}, publisher = {IEEE}, address = {London, UK}, abstract = {

Robotic exoskeletons can provide the high intensity, long duration targeted therapeutic interventions required for regaining motor function lost as a result of neurological injury. Quantitative measurements by exoskeletons have been proposed as measures of rehabilitative outcomes. Exoskeletons, in contrast to end effector designs, have the potential to provide a direct mapping between human and robot joints. This mapping rests on the assumption that anatomical axes and robot axes are aligned well, and that movement within the exoskeleton is negligible. These assumptions hold well for simple one degree-of-freedom joints, but may not be valid for multi-articular joints with unique musculoskeletal properties such as the wrist. This paper presents an experiment comparing robot joint kinematic measurements from an exoskeleton to anatomical joint angles measured with a motion capture system. Joint-space position measurements and task-space smoothness metrics were compared between the two measurement modalities. The experimental results quantify the error between joint-level position measurements, and show that exoskeleton kinematic measurements preserve smoothness characteristics found in anatomical measures of wrist movements.

}, issn = {978-1-5386-2296-4}, doi = {10.1109/ICORR.2017.8009450}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/Rose_2017_Estimating.pdf}, author = {Rose, Chad G. and Kann, Claudia K and Deshpande, Ashish D and O{\textquoteright}Malley, Marcia K} } @proceedings {1817, title = {Maintaining Subject Engagement during Robotic Rehabilitation with a Minimal Assist-as-Needed (mAAN) Controller}, year = {2017}, month = {07/2017}, publisher = {IEEE}, address = {London, UK}, abstract = {

One challenge of robotic rehabilitation interventions is devising ways to encourage and maintain high levels of subject involvement over long duration therapy sessions. Assist-as-needed controllers have been proposed which modulate robot intervention in movements based on measurements of subject involvement. This paper presents a minimal assist-as-needed controller, which modulates allowable error bounds and robot intervention based on sensorless force measurement accomplished through a nonlinear disturbance observer. While similar algorithms have been validated using healthy subjects, this paper presents a validation of the proposed mAAN control algorithm{\textquoteright}s ability to encourage user involvement with an impaired individual. User involvement is inferred from muscle activation, measured via surface electromyography (EMG). Experimental validation shows increased EMG muscle activation when using the proposed mAAN algorithm compared to non-adaptive algorithms.

}, issn = {978-1-5386-2296-4}, doi = {10.1109/ICORR.2017.8009222}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/Pehlivan_2017_Maintaining.pdf}, author = {Ali Utku Pehlivan and Dylan P. Losey and Rose, Chad G.} } @article {1784, title = {Modeling Electromechanical Aspects of Cyber-Physical Systems}, journal = {Journal of Software Engineering for Robotics (JOSER)}, volume = {7}, number = {1}, year = {2016}, month = {07/2016}, pages = {100-119}, chapter = {100}, abstract = {

Model-based tools have the potential to significantly improve the process of developing novel cyber-physical systems (CPS). In this paper, we consider the question of what language features are needed to model such systems. We use a small, experimental hybrid systems modeling language to show how a number of basic and pervasive aspects of cyber-physical systems can be modeled concisely using the small set of language constructs. We then consider four, more complex, case studies from the domain of robotics. The first, a quadcopter, illustrates that these constructs can support the modeling of interesting systems. The second, a serial robot, provides a concrete example of why it is important to support static partial derivatives, namely, that it significantly improves the way models of rigid body dynamics can be expressed. The third, a linear solenoid actuator, illustrates the language{\textquoteright}s ability to integrate multiphysics subsystems. The fourth and final, a compass gait biped, shows how a hybrid system with non-trivial dynamics is modeled. Through this analysis, the work establishes a strong connection between the engineering needs of the CPS domain and the language features that can address these needs. The study builds the case for why modeling languages can be improved by integrating several features, most notably, partial derivatives, differentiation without duplication, and support for equations. These features do not appear to be addressed in a satisfactory manner in mainstream modeling and simulation tools.

}, keywords = {Cyber-Physical Systems, Domain-Specific Language}, issn = {2035-3928}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/102-585-1-PB.pdf}, author = {Yingfu Zeng and Rose, Chad G. and Walid Taha and Adam Duracz and Kevin Atkinson and Roland Philippsen and Robert Cartwright and Marcia O{\textquoteright}Malley} } @proceedings {1842, title = {Characterization of a hand-wrist exoskeleton, READAPT, via kinematic analysis of redundant pointing tasks}, year = {2015}, publisher = {IEEE}, address = {Singapore}, doi = { 10.1109/ICORR.2015.7281200}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/ICORR15_0190_MS_0.pdf}, author = {Rose, Chad G. and Sergi, Fabrizio and Yun, Youngmok and Madden, Kaci and Deshpande, Ashish D and O{\textquoteright}Malley, Marcia K} } @proceedings {1713, title = {Design and characterization of a haptic paddle for dynamics education}, year = {2014}, month = {Feb}, doi = {10.1109/HAPTICS.2014.6775465}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/HS2014_HapticPaddle_Rose_Press.pdf}, author = {Rose, Chad G. and French, James A. and O{\textquoteright}Malley, Marcia K.} } @proceedings {1721, title = {SYSTEM CHARACTERIZATION OF MAHI EXO-II: A ROBOTIC EXOSKELETON FOR UPPER EXTREMITY REHABILITATION}, year = {2014}, publisher = {ASME}, address = {San Antonio, TX}, abstract = {
This paper presents the performance characterization of the MAHI Exo-II, an upper extremity exoskeleton for stroke and
spinal cord injury (SCI) rehabilitation, as a means to validate its clinical implementation and to provide depth to the literature on the performance characteristics of upper extremity exoskeletons. Individuals with disabilities arising from stroke and SCI need rehabilitation of the elbow, forearm, and wrist to restore the ability to independently perform activities of daily living (ADL). Robotic rehabilitation has been proposed to address the need for high intensity, long duration therapy and has shown promising results for upper limb proximal joints. However, upper limb distal joints have historically not benefitted from the same focus. The MAHI Exo-II, designed to address this shortcoming, has undergone a static and dynamic performance characterization, which shows that it exhibits the requisite qualities for a rehabilitation robot and is comparable to other state-of-the-art designs.
}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/DSCC2014-6267.pdf}, author = {French, James A. and Rose, Chad G. and O{\textquoteright}Malley, Marcia K.} } @proceedings {1704, title = {Modeling Basic Aspects of Cyber-Physical Systems, Part II}, year = {2013}, address = {Tokyo, Japan}, abstract = {
We continue to consider the question of what
language features are needed to effectively model cyber-physical
systems (CPS). In previous work, we proposed using a core
language as a way to study this question, and showed how
several basic aspects of CPS can be modeled clearly in a
language with a small set of constructs. This paper reports
on the result of our analysis of two, more complex, case studies
from the domain of rigid body dynamics. The first one, a
quadcopter, illustrates that previously proposed core language
can support larger, more interesting systems than previously
shown. The second one, a serial robot, provides a concrete
example of why we should add language support for static
partial derivatives, namely that it would significantly improve
the way models of rigid body dynamics can be expressed.
}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/paper\%20\%285\%29.pdf}, author = {Yingfu Zeng and Rose, Chad G. and Paul Branner and Walid Taha and Jawad Masood and Roland Philippsen and Marcia K. O{\textquoteright}Malley and Robert Cartwright} } @proceedings {1706, title = {System characterization of RiceWrist-S: A forearm-wrist exoskeleton for upper extremity rehabilitation}, year = {2013}, month = {June}, keywords = {Actuators, closed loop position performance, closed loop systems, distal joints, Exoskeletons, forearm rehabilitation, forearm-wrist exoskeleton, Friction, haptic interface design, Joints, medical robotics, neurological lesions, neurophysiology, Patient rehabilitation, position control, prosthetics, RiceWrist-S, robotic rehabilitation, Robots, serial mechanisms, spatial resolution, spinal cord injury, spinal cord injury rehabilitation, stroke, stroke rehabilitation, system characterization, Torque, torque output, upper extremity rehabilitation, Wrist, wrist rehabilitation}, doi = {10.1109/ICORR.2013.6650462}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/Pehlivan_RW-S_ICORR2013.pdf}, author = {Pehlivan, Ali Utku and Rose, Chad G. and O{\textquoteright}Malley, Marcia K.} }