- Ai - Engineering Mailing Lists

[CoRIS-List] Reminder: Friday, 11am: Amanda Prorok
by Hatton, Ross 07 Apr '21

07 Apr '21

Hi All, As a reminder, our first seminar of the term is this Friday: Amanda Prorok (Cambridge University), "Learning to Communicate in Multi-Agent Systems" Speaker bio: https://roboticstoday.github.io/ Watch link: https://roboticstoday.github.io/watch.html Pre- and post-seminar Gather space for OSU Robotics attendees (with an integrated link to the main talk) is at https://gather.town/app/HeC6WAB1zL6cKWp5/OSU%20Robotics%20Seminar -Ross =========== Ross L. Hatton Associate Professor, Robotics and Mechanical Engineering Collaborative Robotics and Intelligent Systems Institute Oregon State University coris.oregonstate.edu research.engr.oregonstate.edu/lram/ rosslhatton.com ross.hatton(a)oregonstate.edu

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[CoRIS-List] OSU Robotics Spring Seminar Series
by Ross L. Hatton 03 Apr '21

03 Apr '21

Hi All, Our initial lineup for the OSU Robotics Spring seminar series is listed below. As with our previous remote terms, the seminars will be a mix of speakers we have invited to give talks to an OSU audience along with broadcasts from the Robotics Today web seminar series. I've also set up a gather.town space to use before and after the seminar. (Ideas for how to stock the space with Interzone coffee cake are welcome). https://gather.town/app/HeC6WAB1zL6cKWp5/OSU%20Robotics%20Seminar Pressing 'x' anywhere in the space will take you to the Zoom or web stream for the seminar. -Ross April 9, 11am: Amanda Prorok (Cambridge University), "Learning to Communicate in Multi-Agent Systems" https://roboticstoday.github.io/watch.html April 23, 12pm: Koushil Sreenath (UC Berkeley), Title TBA, area is Dynamics and Control https://roboticstoday.github.io/watch.html April 30, 10am: Kory Mathewson (DeepMind), Title TBA, area is Human-Robot Interaction https://oregonstate.zoom.us/j/97644079157?pwd=WXRZeEhOR0padXVzb2NkVkVkVEFmZ… May 14, 10am: Hannah Stuart, title TBA, area is Manipulation and Mechanisms https://oregonstate.zoom.us/j/97644079157?pwd=WXRZeEhOR0padXVzb2NkVkVkVEFmZ… May 21, 12pm: Antonio Bicchi (Istituto Italiano di Tecnologia), Title TBA, area is Control and Compliant Mechanisms https://roboticstoday.github.io/watch.html =========== Ross L. Hatton Associate Professor, Robotics and Mechanical Engineering Collaborative Robotics and Intelligent Systems Institute Oregon State University coris.oregonstate.edu research.engr.oregonstate.edu/lram/ rosslhatton.com ross.hatton(a)oregonstate.edu

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Social gathering ( Friday 5 pm - 7 pm) - Artificial Intelligence Graduate Student Association (AIGSA)
by Koul, Anurag 30 Mar '21

30 Mar '21

Hello Everyone, We, the AIGSA committee, would like to share that we are organizing a social get-together event for all graduate students interested in Artificial Intelligence. It's an interesting opportunity to get to know each other, share your interests and form new friends. *Event Details:* - Date and Time: Friday, Apr 2nd, 5-7 pm - Link: https://gather.town/app/HrL8PCnFGjQ5YzDf/Kelly - Password: aigsa - It's a virtual 2D space where we can roam around and form groups for video and voice chat. Please note, in the virtual space, we have to get closer to each other in order to talk. We look forward to meeting all of you. Also, feel free to reach out to us if you have any inquiries/suggestions. Regards, Anurag Koul AIGSA committee member https://it.engineering.oregonstate.edu/mailman/listinfo/ai

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[CoRIS-List] Participating in a research study on a new interface for videos?
by Minsuk Kahng 19 Mar '21

19 Mar '21

Hi students, We are looking for people to participate in a research study. I'm an EECS faculty member and our lab has been developing a new web-based interface prototype for users to explore, annotate, and analyze videos with the help of AI systems, and we need your help to evaluate our prototype. You're welcome to participate if you: - are at least 18 years old; - have a Chrome browser; AND - have any experience with video analysis other than simple watching, which includes editing, annotating, filming, cropping, etc. Participation in this study involves: - 1 hour Zoom session with us - Performing some tasks using our web-based interface and providing feedback to us - $10 Amazon gift card for your participation If interested, please sign up for the study using this link: http://divlab-study.youcanbook.me For questions, please contact Prof. Minsuk Kahng and the DIV Lab team by email at osudivlab(a)gmail.com. Thank you. Cheers, Minsuk -- Minsuk Kahng Assistant Professor School of Electrical Engineering and Computer Science Oregon State University https://minsuk.com Study Title: Visual and Interactive User Interfaces for Interactive Machine Learning

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[CoRIS-List] Fwd: Alper Dumanli - PhD Defense - Thursday, March 18, 10am
by Hatton, Ross 15 Mar '21

15 Mar '21

*From:* "Dumanli, Alper" <dumanlia(a)oregonstate.edu> *Date:* March 15, 2021 at 8:16:44 PM PDT *To:* "Sencer, Burak" <Burak.Sencer(a)oregonstate.edu> *Subject:* *Re: Alper Dumanli - PhD Defense - Thursday, March 18, 10am* Hi all, Alper Dumanli will be defending his PhD dissertation on Thursday (March 18th) at 10am. Below are the details, hope to see you there! *Date and Time: *Thursday, March 18, 10am *Title: *Active and Passive Control of Machine Tool Vibrations for High Speed and Accuracy *Abstract:* High-performance mechatronic systems are widely used in precision manufacturing equipment such as CNC machine tools, 3D-Printers, photolithography systems, and industrial robots. To keep up with the rapidly increasing productivity and accuracy demands, it is crucial that mechatronic systems (feed drives) of these manufacturing equipment deliver high-speed motion with high precision. In this dissertation, motion control strategies are presented to increase dynamic positioning accuracy and productivity of such systems. First, a novel trajectory generation method is presented to avoid exciting low frequency structural vibration modes, without compromising from productivity. Trajectory generation problem is posed as a convex optimization problem, and a practical windowing method is presented to implement the proposed strategy in real-time for realistic manufacturing scenarios. Next, a data-driven trajectory shaping algorithm is designed to eliminate dynamic positioning errors induced by flexible motion transmission components (such as ball screw drives) and nonlinear friction forces typically caused by mechanical bearings and guiding units. The proposed algorithm is used for optimizing trajectory pre-filters through machine-in-the-loop iterations, and therefore it can be applied on a wide variety of systems without elaborate dynamic modeling. Finally, an active tool position control strategy is proposed to mitigate chatter vibrations for improving stability margins of turning processes. Two motion control algorithms are developed to control the dynamic interaction between the tool and the workpiece. Effectiveness of the proposed strategies is demonstrated on machine tools by high-speed tracking and machining experiments. *Location:* Zoom meeting link below: https://oregonstate.zoom.us/j/9759813712?pwd=aGZZSVc2ck53N3pqUW1uOGFFWXNUZz… <https://www.google.com/url?q=https://oregonstate.zoom.us/j/9759813712?pwd%3…> Password: mime97331 Phone Dial-In Information +1 971 247 1195 US (Portland) +1 253 215 8782 US (Tacoma) +1 301 715 8592 US (Washington D.C) Meeting ID: 975 981 3712

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OSU AI Seminar - March 10 2021 | Yezhou Yang - Arizona State University
by Patravali, Jay Sanjay 12 Mar '21

12 Mar '21

Dear All, Our next speaker is Prof. Yezhou Yang from Arizona State University. He will be presenting *"*Visual Recognition beyond Appearances, and its Robotic Applications*"* this *Wednesday 3/10 from 1.00-2.00PM PT.* Zoom Link: https://tinyurl.com/ydf946w7 Please find attached the poster flyer for more information. *Title*: Visual Recognition beyond Appearances, and its Robotic Applications *Abstract*: The goal of Computer Vision, as coined by Marr, is to develop algorithms to answer What are Where at When from visual appearance. The speaker, among others, recognizes the importance of studying underlying entities and relations beyond visual appearance, following an Active Perception paradigm. This talk will present the speaker's efforts over the last decade, ranging from 1) reasoning beyond appearance for visual question answering, image understanding and video captioning tasks, through 2) temporal and self-supervised knowledge distillation with incremental knowledge transfer, till 3) their roles in a Robotic visual learning framework via a Robotic Indoor Object Search task. The talk will also feature the Active Perception Group (APG)’s ongoing projects (NSF RI, NRI and CPS, DARPA KAIROS, and Arizona IAM) addressing emerging challenges of the nation in autonomous driving, AI security and healthcare domains, at the ASU School of Computing, Informatics, and Decision Systems Engineering (CIDSE). *Bio*: Yezhou Yang is an Assistant Professor at School of Computing, Informatics, and Decision Systems Engineering, Arizona State University. He is directing the ASU Active Perception Group. His primary interests lie in Cognitive Robotics, Computer Vision, and Robot Vision, especially exploring visual primitives in human action understanding from visual input, grounding them by natural language as well as high-level reasoning over the primitives for intelligent robots. Before joining ASU, Dr. Yang was a Postdoctoral Research Associate at the Computer Vision Lab and the Perception and Robotics Lab, with the University of Maryland Institute for Advanced Computer Studies. He is a recipient of Qualcomm Innovation Fellowship 2011, the NSF CAREER award 2018 and the Amazon AWS Machine Learning Research Award 2019. He receives his Ph.D. from University of Maryland at College Park, and B.E. from Zhejiang University, China. Please plan on attending! Thanks, Jay Patravali Graduate Student, CoRIS-EECS. Oregon State University ---- AI Seminar Important Reminders: -> The AI Seminar has a strict "no electronics" and "no recordings" policy. -> For graduate students in the AI program, attendance is strongly encouraged.

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[CoRIS-List] Robotics seminar Friday, March 12 *noon*: Chad Jenkins
by Ross Hatton 11 Mar '21

11 Mar '21

Hi All, The Robotics Today seminar series has added several talks for the spring. Tomorrow's talk, "That Ain’t Right: AI Mistakes and Black Lives" is from Professor Chad Jenkins at the University of Michigan. The talk will be streamed at noon, with details at https://roboticstoday.github.io -Ross =========== Ross L. Hatton Associate Professor, Robotics and Mechanical Engineering Collaborative Robotics and Intelligent Systems Institute (CoRIS) Oregon State University coris.oregonstate.edu research.engr.oregonstate.edu/lram/ rosslhatton.com ross.hatton(a)oregonstate.edu

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OSU AI Seminar - **Today** | Yezhou Yang - Arizona State University
by Patravali, Jay Sanjay 10 Mar '21

10 Mar '21

Dear All, A gentle reminder for today's seminar by Prof. Yezhou Yang from Arizona State University. He will be presenting *"*Visual Recognition beyond Appearances, and its Robotic Applications*"* between* 1.00-2.00PM PT.* Zoom Link: https://tinyurl.com/ydf946w7 Please find attached the poster flyer for more information. *Title*: Visual Recognition beyond Appearances, and its Robotic Applications *Abstract*: The goal of Computer Vision, as coined by Marr, is to develop algorithms to answer What are Where at When from visual appearance. The speaker, among others, recognizes the importance of studying underlying entities and relations beyond visual appearance, following an Active Perception paradigm. This talk will present the speaker's efforts over the last decade, ranging from 1) reasoning beyond appearance for visual question answering, image understanding and video captioning tasks, through 2) temporal and self-supervised knowledge distillation with incremental knowledge transfer, till 3) their roles in a Robotic visual learning framework via a Robotic Indoor Object Search task. The talk will also feature the Active Perception Group (APG)’s ongoing projects (NSF RI, NRI and CPS, DARPA KAIROS, and Arizona IAM) addressing emerging challenges of the nation in autonomous driving, AI security and healthcare domains, at the ASU School of Computing, Informatics, and Decision Systems Engineering (CIDSE). *Bio*: Yezhou Yang is an Assistant Professor at School of Computing, Informatics, and Decision Systems Engineering, Arizona State University. He is directing the ASU Active Perception Group. His primary interests lie in Cognitive Robotics, Computer Vision, and Robot Vision, especially exploring visual primitives in human action understanding from visual input, grounding them by natural language as well as high-level reasoning over the primitives for intelligent robots. Before joining ASU, Dr. Yang was a Postdoctoral Research Associate at the Computer Vision Lab and the Perception and Robotics Lab, with the University of Maryland Institute for Advanced Computer Studies. He is a recipient of Qualcomm Innovation Fellowship 2011, the NSF CAREER award 2018 and the Amazon AWS Machine Learning Research Award 2019. He receives his Ph.D. from University of Maryland at College Park, and B.E. from Zhejiang University, China. Please plan on attending! Thanks, Jay Patravali Graduate Student, CoRIS-EECS. Oregon State University ---- AI Seminar Important Reminders: -> The AI Seminar has a strict "no electronics" and "no recordings" policy. -> For graduate students in the AI program, attendance is strongly encouraged.

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OSU AI Seminar - **Today 1PM** | Liang Huang, Oregon State University
by Patravali, Jay Sanjay 03 Mar '21

03 Mar '21

Dear All, A gentle reminder for today's seminar by Prof. Liang Huang from Oregon State University. He will be presenting *"*COVID-19 Vaccine Design using Mathematical Linguistics*"* between* 1.00-2.00PM PT.* Zoom Link: https://tinyurl.com/arhbuvs3 Please find attached the poster flyer for more information. *Title*: COVID-19 Vaccine Design using Mathematical Linguistics *Abstract*: To defeat the current COVID-19 pandemic, a messenger RNA (mRNA) vaccine has emerged as a promising approach thanks to its rapid and scalable production and non-infectious and non-integrating properties. However, designing an mRNA sequence to achieve high stability and protein yield remains a challenging problem due to the exponentially large search space (e.g., there are 2.4 x 10^632 possible mRNA sequence candidates for the spike protein of SARS-CoV-2). We describe two on-going efforts for this problem, both using linear-time algorithms inspired by my earlier work in natural language parsing. On one hand, the Eterna OpenVaccine project from Stanford Medical School takes a crowd-sourcing approach to let game players all over the world design stable sequences. To evaluate sequence stability (in terms of free energy), they use LinearFold from my group (2019) since it’s the only linear-time RNA folding algorithm available (which makes it the only one fast enough for COVID-scale genomes). On the other hand, we take a computational approach to directly search for the optimal sequence in this exponentially large space via dynamic programming. It turns out this problem can be reduced to a classical problem in formal language theory and computational linguistics (intersection between CFG and DFA), which can be solved in O(n^3) time, just like lattice parsing for speech. In the end, we can design the optimal mRNA vaccine candidate for SARS-CoV-2 spike protein in just about 10 minutes. To conclude, classical results (dating back to the 1960s) from theoretical computer science and mathematical linguistics helped us solve the very challenging and extremely important problem in fighting the COVID-19 pandemic. *Bio*: Liang Huang (PhD, Penn, 2008) is an Associate Professor of Computer Science at Oregon State University and a Distinguished Scientist at Baidu Research USA. He is a leading theoretical computational linguist, and was recognized at ACL 2008 (Best Paper Award) and ACL 2019 (Keynote Speech), but in recent years he has been more interested in applying his expertise in parsing, translation, and grammar formalisms to biology problems such as RNA folding and RNA design. Since the outbreak of COVID-19, he has shifted his attention to the fight against the virus, which resulted in efficient algorithms for stable mRNA vaccine design, adapted from classical theory and algorithms from mathematical linguistics dating back to the 1960s. Please plan on attending! Thanks, Jay Patravali Graduate Student, CoRIS-EECS. Oregon State University ---- AI Seminar Important Reminders: -> The AI Seminar has a strict "no electronics" and "no recordings" policy. -> For graduate students in the AI program, attendance is strongly encouraged.

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Fwd: ROB 562: Human Control Systems class in Spring 2021
by Patravali, Jay Sanjay 01 Mar '21

01 Mar '21

Dear all, Prof Ravi Balasubramanian is teaching. ROB 562: Human Control Systems" in Spring 2021. Please see the message below. Thanks, Jay ---------- Forwarded message --------- From: Balasubramanian, Ravi <Ravi.Balasubramanian(a)oregonstate.edu> Date: Fri, Feb 26, 2021 at 5:59 PM Subject: ROB 562: Human Control Systems class in Spring 2021 To: Patravali, Jay Sanjay <patravaj(a)oregonstate.edu> Hi Jay: I am an OSU robotics faculty. Can you please forward the below message and the attachment to the AI list about a course that is upcoming in Spring? Thanks! Ravi -------------------------- Friends: Hope your term is going great. I wanted to inform you that I will teach a course titled "ROB 562: Human Control Systems" in Spring 2021. The flyer is attached. The material may be relevant to your students, and more generally, to students interested in the following: neuro-musculo-skeletal system biomechanics bio-control biosignals feedback control for biomechanical systems models for human-robot communication for physical interaction bioengineering prostheses, exoskeletons, orthoses application of machine learning and AI to the above domains Please advertise this course when you get a chance. We look forward to having a diverse group in the class. :) Thanks! -- Ravi Balasubramanian Associate Professor School of Mechanical, Industrial, and Manufacturing Engineering Oregon State University Corvallis, OR 97331. ravi.balasubramanian(a)oregonstate.edu Graf Hall 315 Ph#: 541-737-4267 http://web.engr.oregonstate.edu/~balasubr/ Public calendar: http://bit.ly/1a4YXpD OSU Robotics: http://robotics.oregonstate.edu/

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