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Randall B. Hellman
Researcher at Arizona State University
Publications - 9
Citations - 259
Randall B. Hellman is an academic researcher from Arizona State University. The author has contributed to research in topics: Haptic technology & Haptic perception. The author has an hindex of 5, co-authored 9 publications receiving 126 citations. Previous affiliations of Randall B. Hellman include University of California & University of California, Los Angeles.
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Journal ArticleDOI
Robots Under COVID-19 Pandemic: A Comprehensive Survey
Yang Shen,Dejun Guo,Fei Long,Luis A. Mateos,Houzhu Ding,Zhen Xiu,Randall B. Hellman,Adam King,Shixun Chen,Chengkun Zhang,Huan Tan +10 more
TL;DR: A survey comprehensively reviews over 200 reports covering robotic systems which have emerged or have been repurposed during the past several months, to provide insights to both academia and industry as mentioned in this paper.
Journal ArticleDOI
Functional Contour-following via Haptic Perception and Reinforcement Learning
TL;DR: An approach for real-time haptic perception and decision-making for a haptics-driven, functional contour-following task: the closure of a ziplock bag that contributes to the development of reinforcement learning approaches that account for limited resources such as hardware life and researcher time.
Journal ArticleDOI
A robot hand testbed designed for enhancing embodiment and functional neurorehabilitation of body schema in subjects with upper limb impairment or loss.
Randall B. Hellman,Randall B. Hellman,Eric Chang,Justin Tanner,Stephen I. Helms Tillery,Veronica J. Santos,Veronica J. Santos +6 more
TL;DR: Clinical benefits that could arise from the confluence of known concepts such as MVF and the rubber hand illusion are discussed, and new technologies such as neural interfaces for sensory feedback and highly sensorized robot hand testbeds, such as the “BairClaw” presented here are discussed.
Proceedings ArticleDOI
Haptic exploration of fingertip-sized geometric features using a multimodal tactile sensor
TL;DR: The ability to haptically perceive local shape could be used to advance robot autonomy and provide haptic feedback to human teleoperators of devices ranging from bomb defusal robots to neuroprostheses.
Journal ArticleDOI
Spatial Asymmetry in Tactile Sensor SkinDeformation Aids Perception of EdgeOrientation During Haptic Exploration
TL;DR: This work presents an approach for estimating edge orientation with respect to an artificial fingertip through haptic exploration using a multimodal tactile sensor on a robot hand and suggests that sensor regions that were not in direct contact with the stimulus provided particularly useful information.