@conference {496,
	title = {Impact of Gravity Compensation on Upper Extremity Movements in Harmony Exoskeleton},
	booktitle = {International Conference on Rehabilitation Robotics (ICORR)},
	year = {2022},
	author = {Rhet O. Hailey and Ana C. de Oliveira and Keya Ghonasgi and R. Whitford and R. Lee and Chad G. Rose and Ashish D. Deshpande}
}
@conference {468,
	title = {An Anthropomorphic Passive Instrumented Hand for Validating Wearable Robotic Systems},
	booktitle = {IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)},
	year = {2021},
	author = {Avinash Baskaran and Paria Esmatloo and Matthew Times and Ashish Deshpande and Chad G. Rose}
}
@conference {465,
	title = {Design and Validation of a Novel Exoskeleton Hand Interface: The Eminence Grip},
	booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
	year = {2021},
	author = {Keya Ghonasgi and Chad G. Rose and Ana C. de Oliveira and Rohit J. Varghese and Ashish D. Deshpande}
}
@article {470,
	title = {The Road Forward for Upper Extremity Rehabilitation Robotics},
	journal = {Current Opinion in Biomedical Engineering},
	year = {2021},
	abstract = {<p>Despite concerted efforts over the last three decades, upper-extremity robotic rehabilitation has yet to reach its full potential. We assert that assuming the goal of robotic rehabilitation is to automate conventional therapy may have led to overly narrow research directions and to mixed results from clinical studies. Recontextualizing this assumption opens promising research avenues for roboticists. Breaking the robotic device design loop and instead seeking out {\textquoteleft}big data{\textquoteright} opportunities has the potential to identify promising robot-mediated interventions. This will require a shift in roboticists{\textquoteright} attitudes towards participating in neuroscience and clinical research. By expanding assessment beyond kinematics, robotic devices can provide clinicians with a more complete picture of impairment and recovery. We discuss the current assumptions in greater detail, and point towards promising research in these revised directions.</p>
},
	issn = {ISSN 2468-4511},
	author = {Chad G. Rose and Ashish D. Deshpande and Jacob Carducci and Jeremy D.Brown}
}
@conference {449,
	title = {Design and Validation of a Sensorized Physical Human-Robot Interface for Distributed Force Measurement},
	booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Workshop on Ergonomic Human-Robot Collaboration: Opportunities and Challenges},
	year = {2020},
	author = {Keya Ghonasgi and Saad N. Yousaf and Paria Esmatloo and Ruth Heckler and Job Ramirez and Chad G. Rose and Ashish D. Deshpande}
}
@conference {411,
	title = {Estimating the Effect of Robotic Intervention on Elbow Joint Motion},
	booktitle = { IEEE International Symposium on Robot and Human Interactive Communication },
	year = {2019},
	month = {09/2019},
	author = {Keya Ghonasgi and Ana C. de Oliveira and Anna Shafer and Chad G. Rose and Ashish D. Deshpande}
}
@article {379,
	title = {Assessing Wrist Movement with Robotic Devices},
	journal = {IEEE Transactions on Neural Systems \& Rehabilitation Engineering},
	year = {2018},
	author = {Chad G. Rose and Evan Pezent and Claudia K. Kanny and Ashish D. Deshpande and Marcia K. O{\textquoteright}Malley}
}
