Matei Ciocarlie
Affiliations: | Computer Science | Columbia University, New York, NY |
Area:
Robotics, Mobile Manipulation, Machine Perception, Human-Machine Interaction, Virtual EnvironmentsGoogle:
"Matei Ciocarlie"Cross-listing: Robotree
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Publications
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Xu J, Meeker C, Chen A, et al. (2022) Adaptive Semi-Supervised Intent Inferral to Control a Powered Hand Orthosis for Stroke. Ieee International Conference On Robotics and Automation : Icra : [Proceedings]. Ieee International Conference On Robotics and Automation. 2022: 8097-8103 |
Chen A, Winterbottom L, Park S, et al. (2022) Thumb Stabilization and Assistance in a Robotic Hand Orthosis for Post-Stroke Hemiparesis. Ieee Robotics and Automation Letters. 7: 8276-8282 |
Chen T, He Z, Ciocarlie M. (2021) Co-designing hardware and control for robot hands. Science Robotics. 6 |
Park S, Fraser M, Weber LM, et al. (2020) User-Driven Functional Movement Training with a Wearable Hand Robot after Stroke. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society |
Fraser M, Park S, Weber L, et al. (2020) A User-Driven Wearable Hand Robot for Functional Task Training After Stroke American Journal of Occupational Therapy. 74 |
Haas-Heger M, Ciocarlie M. (2020) Accurate Energetic Constraints for Passive Grasp Stability Analysis Ieee Transactions On Robotics. 36: 1079-1095 |
Chen T, Wang L, Haas-Heger M, et al. (2020) Underactuation Design for Tendon-Driven Hands via Optimization of Mechanically Realizable Manifolds in Posture and Torque Spaces Ieee Transactions On Robotics. 36: 708-723 |
Bohg J, Ciocarlie M, Civera J, et al. (2019) Big Data on Robotics. Big Data. 4: 195-196 |
Mahler J, Platt R, Rodriguez A, et al. (2018) Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols and Metrics. Ieee Transactions On Automation Science and Engineering : a Publication of the Ieee Robotics and Automation Society. 15 |
Bohg J, Ciocarlie M, Civera J, et al. (2018) Call for Papers: Special Issue on Big Data in Robotics. Big Data. 4: 69-70 |