About
I am a computer scientist / roboticist with a focus on robotic perception and machine…
Activity
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Dr. Tamás Haidegger, Ph.D was promoted to full professor ACMIT’s long-term scientific partner and employee, Dr. Tamás Haidegger has been appointed…
Dr. Tamás Haidegger, Ph.D was promoted to full professor ACMIT’s long-term scientific partner and employee, Dr. Tamás Haidegger has been appointed…
Liked by Zachary Pezzementi
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🙌 Wrapping up my internship! Glad to share that my internship at the National Robotics Engineering Center concluded last week. As a machine…
🙌 Wrapping up my internship! Glad to share that my internship at the National Robotics Engineering Center concluded last week. As a machine…
Liked by Zachary Pezzementi
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Deeply honored to receive the @IEEESSIT Carl Barus Award for Outstanding Service in the Public Interest this evening for my work in the area of…
Deeply honored to receive the @IEEESSIT Carl Barus Award for Outstanding Service in the Public Interest this evening for my work in the area of…
Liked by Zachary Pezzementi
Experience
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Education
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Obtained Master's as part of PhD program.
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Activities and Societies: WSRN DJ, Sigma Xi, ACM
Publications
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Tactile Object Recognition From Appearance Information
IEEE Transactions on Robotics, Special Issue on Robotic Sense of Touch
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Object mapping, recognition, and localization from tactile geometry
IEEE International Conference on Robotics and Automation (ICRA)
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Characterization and Simulation of Tactile Sensors
IEEE Haptics Symposium
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Human vs. Robotic Tactile Sensing: Detecting Lumps in Soft Tissue
IEEE Haptics Symposium
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Articulated Object Tracking by Rendering Consistent Appearance Parts
IEEE International Conference on Robotics and Automation (ICRA)
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Modeling Realistic Tool-Tissue Interactions with Haptic Feedback: A Learning-based Method
IEEE Haptics Symposium
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Dynamic Guidance with Pseudoadmittance Virtual Fixtures
IEEE International Conference on Robotics and Automation (ICRA)
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Design of a Social Mobile Robot Using Emotion-Based Decision Mechanisms
IEEE International Conference on Intelligent Robots and Systems (IROS)
Patents
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Programmable multispectral illumination system for surgery and visualization of light-sensitive tissues
Issued US PCT/US2010/044596
An observation system for viewing light-sensitive tissue includes an illumination system configured to illuminate the light-sensitive tissue, an imaging system configured to image at least a portion of the light-sensitive tissue upon being illuminated by the illumination system, and an image display system in communication with the imaging system to display an image of the portion of the light-sensitive tissue. The illumination system is configured to illuminate the light-sensitive tissue with…
An observation system for viewing light-sensitive tissue includes an illumination system configured to illuminate the light-sensitive tissue, an imaging system configured to image at least a portion of the light-sensitive tissue upon being illuminated by the illumination system, and an image display system in communication with the imaging system to display an image of the portion of the light-sensitive tissue. The illumination system is configured to illuminate the light-sensitive tissue with a reduced amount of light within a preselected wavelength range compared to multispectral illumination light, and the image of the portion of the light-sensitive tissue is compensated for the reduced amount of light within the preselected frequency range to approximate an image of the light-sensitive tissue under the multispectral illumination.
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Grain quality monitoring
Filed US US 20160189007 A1
A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is…
A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.
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Languages
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English
Native or bilingual proficiency
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French
Limited working proficiency
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Spanish
Elementary proficiency
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