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
Education
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.
Other inventorsSee patent -
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.
Other inventorsSee patent
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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