Terascale All-sensing Research Studio
@tarshome
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Terascale All-sensing Research Studio
Joined June 2023
TARS (@tarshome) and HMI2 are organizing HUBEDA @ieeeroman! Submit 4 or 6 page papers @ Speakers: Arash Ajoudani, Vesna Novak, Elaine Novak, Paul Robinette, and Pradipta Biswas. We have demos from UR on their robots and from TARS on EMG+robots!
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RT @JonathanHagyard: Attending @CVPR and interested in human robot collaborations?. Come by the @delsysinc booth at #1410 to try our human….
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Congratulations to our PhD student Xinchao Song!🎉.
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Congratulations to our undergraduate student Matt Duver!.
Congratulations to Matt Duver et al. for winning the #IEEEAIXVR 2024 best demo award with their demo “VR-Hand-in-Hand: Using Virtual Reality (VR) Hand Tracking For Hand-Object Data Annotation.”
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Congratulations to our lab alumnus Alexander Kupin for his delightful presentation @IEEE_AIXVR 2024!.
Congratulations to Altec research scientist Alexander Kupin for presenting his research into telehealth rehabilitation @IEEE_AIXVR !🎊🧘. Interested in extending the reality of your research? Read more on our API and Unity integration!👇. 🔗:
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Congratulations to our PhD student Mingjun Li for winning the Best Paper Award at @IEEE_AIXVR 2024! 🎉
Best paper award: "Using Motion Forecasting for Behavior-Based Virtual Reality (VR) Authentication" by M. Li, N. Kholgade Banerjee and S. Banerjee.
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Merry Christmas from the Terascale All-sensing Research Studio (TARS)! 🎄
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Our PhD student Noah Wiederhold and undergraduate student Ava Megyeri were presenting their paper, HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count, at #NeurIPS2023. The full paper is available online: Check it out!
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2/ "Understanding Agreement in Giver and Receiver Intentions on Grasp in Human-Human Handover Interactions" - shows human-human handover datasets to inform robotic handover must be augmented with subject perceptions on the agreement between actual and intended handover behavior.
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1/ "MoV-SLAM Using Motion Vectors for Real-time Single-CPU Visual SLAM" - an approach to obtain long-range robust correspondence tracks for vSLAM using motion vectors that link macroblocks decoded from H.264 video coders on low-resource, single-processor systems in MAVs.
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Our paper, HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count, has been accepted by #NeurIPS2023 🎉! More details coming soon!
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RT @ClarksonUniv: Clarkson University is one of the nation's best institutions for undergraduates according to The Princeton Review. The ed….
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Check out our ARSO 2023 paper Studying How Object Handoff Orientations Relate to Subject Preferences on Handover! Paper: Video:
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Congratulations to Alaina and Alexander! Alaina is currently a master's student researcher at #TARS, while Alexander is one of our promising alumni. It's great to see our students succeeding in industry.
We had a fantastic time @ISVRSociety this year!👏. 📢Thank you to Daofen Chen of @NIH, @KWS456123 of @NRCD_, Mindy Levin of @mcgillu, and all of the other attendees who stopped by our booth! 🧵👇
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Our Ph.D. student Nikolas Lamb presented his paper "Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts" at #CVPR2023 today. Check it out: #TARS #research #CVPR2023 #ComputerVision #MachineLearning
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