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[CoRIS-List] No OSU Robotics seminar this week; RGSA roundtable instead
by Ross L. Hatton 07 Apr '22

07 Apr '22

Hi All, There is no OSU Robotics seminar this week; instead the RGSA is hosting a roundtable event with the faculty about the robotics program. This meeting will be in LINC 268 at 10am Friday 4/8, and its agenda has been sent to the RGSA mailing list. -Prof. Hatton =========== 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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AI seminar: April 13, 2022
by Mangannavar, Rajesh Devaraddi 07 Apr '22

07 Apr '22

Dear all, Our next AI seminar on *"**Human-AI Collaboration for Interactive Image Editing and Machine Autonomy**" *by professor Bolei Zhou is scheduled to be on April 13th, 1-2 PM PST. It will be followed by a 30 minute Q&A session by the graduate students. Zoom Link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *Human-AI Collaboration for Interactive Image Editing and Machine Autonomy* Bolei Zhou Assistant Professor Computer Science University of California, Los Angeles *Abstract:* Deep learning models such as ConvNet and transformers have made huge progress in real-world applications from image generation to self-driving vehicles. Researchers and developers mainly focus on building larger and deeper models to improve the accuracy and numbers on public benchmarks. However, it is difficult to establish a reliable and trustworthy relationship between humans and AI if there are no meaningful interactions. In this talk, I will present our effort to facilitate the Human-AI collaboration for certain tasks. I will first introduce our work on improving the controllability of deep generative models such as GANs for interactive image editing. I will then talk about Human-AI Copilot (HACO), a new human-in-the-loop reinforcement learning method to efficiently teach agents to drive in uncertain environments while preserving their own curiosity and exploration. *Speaker Bio:* Bolei Zhou is an Assistant Professor in the Computer Science Department at the University of California, Los Angeles (UCLA). He earned his Ph.D. from MIT in 2018. His research interest lies at the intersection of computer vision and machine autonomy, focusing on enabling interpretable and trustworthy human-AI interaction. He has developed a number of widely used interpretation methods such as CAM and Network Dissection, as well as computer vision benchmarks Places and ADE20K. He is an associate editor for Pattern Recognition and has been area chair for CVPR, ICCV, and AAAI. He received MIT Tech Review's Innovators under 35 in Asia-Pacific Award. More about his research is at https://boleizhou.github.io/. This talk will be followed by a talk on the topic "*Upscaling Nonlinear Reactions in Tissues: Closure via Machine Learning*" by professor Brian Wood on 20th April (Wednesday) 1-2 PM, 2022 *Please watch this space for future AI Seminars :* * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> For graduate students in the AI program, attendance is strongly encouraged.

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AI seminar: April 6, 2022
by Mangannavar, Rajesh Devaraddi 05 Apr '22

05 Apr '22

Dear all, Our next AI seminar on *"Charismatic Robots in Everyday Human Spaces" *by professor Heather Knight is scheduled to be on April 6th (Tomorrow), 1-2 PM PST. It will be followed by a 30 minute Q&A session by the graduate students. Zoom Link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *Charismatic Robots in Everyday Human Spaces* Heather Knight Assistant Professor Computer Science Oregon State University *Abstract:* The pandemic has brought increasing numbers of robots and automation into everyday human spaces, making our prior work in service robots, expressive communication, and autonomous and human-in-the-loop robot behavior systems ever more relevant. Using examples from 20 years in the field, this talk illustrates how technology designers can repeatedly leverage human-inspired communication systems into robot perception and enactment systems that can add social and functional value to robots operating with, for, and around humans. It will also present work from the CHARISMA Robotics lab at Oregon State University, an acronym for Collaborative Humans and Robotics: Interaction, Sociability, Machine learning and Art. From robot furniture to robot comedy, from nonverbal expressions to the cultural situation of robots operating around people in factories, workplaces, and sidewalks, CHARISMA contributes to the fields of human-robot interaction and social robotics, regularly deploying robots in naturalistic human settings and entertainment contexts. *Speaker Bio:* Heather Knight runs the CHARISMA Robotics research group at Oregon State University, which applies methods from entertainment to the development of more effective and charismatic robots. Their research interests include minimal social robots, multi-robot/multi-human social interaction, and entertainment robots. Her previous work includes a postdoc at Stanford University that explores minimal robots and autonomous car interfaces, a PhD in Robotics at Carnegie Mellon University exploring Expressive Motion for Low Degree of Freedom Robots, and M.S. and B.S. degrees in Electrical Engineering & Computer Science at Massachusetts Institute of Technology, where she developed a sensate skin for a robot teddy bear at the MIT Media Lab. Additional past work includes robotics and instrumentation at NASA's Jet Propulsion Laboratory, sensor design at Aldebaran Robotics, and nine years of producing an annual Robot Film Festival exploring positive storytelling about robots. Additional honors include a robot flower garden installation at the Smithsonian/Cooper-Hewitt Design Museum, robot comedy on TED.com, and a British Video Music Award for OK GO's "This Too Shall Pass" music video featuring a two-floor Rube Goldberg Machine. This talk will be followed by a talk on the topic "*Human-AI Collaboration for Interactive Image Editing and Machine Autonomy*" by professor Bolei Zhou on 13th April (Wednesday) 1-2 PM, 2022. *Please watch this space for future AI Seminars :* * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> For graduate students in the AI program, attendance is strongly encouraged.

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[CoRIS-List] Reminder: Today: OSU Robotics Seminar: Cristina Wilson, Human-robot teaming
by Ross L. Hatton 01 Apr '22

01 Apr '22

Hi All, As a reminder, our first seminar of the spring term will be today from Cristina Wilson of the University of Pennsylvania. ----- Title: A cognitive science approach to addressing bottlenecks in human-robot teaming during spatiotemporal search Speaker: Dr. Cristina Wilson Date/Time: Friday, April 1, 10-11 am https://oregonstate.zoom.us/j/93908195212?pwd=cEdoQVdac0JxMUpOSS9xVzZjVG5xU… Abstract: Robots are taking on increasingly important roles in human spatiotemporal search problems, e.g., planetary exploration, search and rescue, wildfire management. However, state-of-the-art robots are still struggling to support human experts’ reasoning and decision making in the type of complex and uncertain environments that characterize search problems. In this talk, I identify the common bottlenecks in human-driven search and share my work on how collaborative robots can ameliorate bottlenecks through improved cognitive interfacing with human teammates. For example, a bottleneck in the integration of new information from the environment with existing abstract search objectives can lead to inflexible and maladaptive decisions about where to explore next. Computational models that translate abstract human objectives into quantitative actions (rendered as scripts) allow mobile robot assistants to aid in real-time information search. In this manner, understandings of human cognition and behavior expectations are used to inform and complement machine intelligence, endowing robots with representations of human reasoning and decision processes, so robots can, in turn, produce explainable search behaviors to the satisfaction of human teammates. About the speaker: Dr. Wilson is currently a postdoctoral fellow studying collaborative human-robot teaming in the General Robotics, Automation, Sensing and Perception laboratory at the University of Pennsylvania. She received her PhD in cognitive psychology in 2018 from Washington State University, developing expertise in the study of human cognition and behavior. Dr. Wilson’s research emphasizes the human mind in human-robot teaming, designing robotic systems that can understand human objectives and support adaptive decision making. She works closely with domain expert end-users to understand the cognitive challenges to effective robot teaming, thereby enhancing robot systems application in their domains. =========== 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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Alignment Reading Group Meeting
by Quintin Pope 31 Mar '22

31 Mar '22

Hello everyone, Based on the survey, it looks like Friday at 2 PM PST is the time period with the least conflicts. Again, thanks to Alex for suggesting our next discussion topic: https://www.gwern.net/Clippy > It might help to imagine a hard takeoff scenario using solely known sorts of NN & scaling effects… Below is a story which may help stretch your imagination and defamiliarize the 2022 state of machine learning. It’s a fictional timeline of AI causing an existential catastrophe after escaping from an ML experiment. I look forward to meeting you all! Join Zoom Meeting https://oregonstate.zoom.us/j/95843260079?pwd=TzZTN0xPaFZrazRGTElud0J1cnJLU… Password: 961594 Phone Dial-In Information +1 971 247 1195 US (Portland) +1 253 215 8782 US (Tacoma) +1 301 715 8592 US (Washington DC) Meeting ID: 958 4326 0079 All the best, Quintin Sent from my iPhone

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AI seminar: April 6, 2022
by Mangannavar, Rajesh Devaraddi 31 Mar '22

31 Mar '22

Dear all, Our next AI seminar on *"Charismatic Robots in Everyday Human Spaces" *by professor Heather Knight is scheduled to be on April 6th, 1-2 PM PST. It will be followed by a 30 minute Q&A session by the graduate students. Zoom Link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *Charismatic Robots in Everyday Human Spaces* Heather Knight Assistant Professor Computer Science Oregon State University *Abstract:* The pandemic has brought increasing numbers of robots and automation into everyday human spaces, making our prior work in service robots, expressive communication, and autonomous and human-in-the-loop robot behavior systems ever more relevant. Using examples from 20 years in the field, this talk illustrates how technology designers can repeatedly leverage human-inspired communication systems into robot perception and enactment systems that can add social and functional value to robots operating with, for, and around humans. It will also present work from the CHARISMA Robotics lab at Oregon State University, an acronym for Collaborative Humans and Robotics: Interaction, Sociability, Machine learning and Art. From robot furniture to robot comedy, from nonverbal expressions to the cultural situation of robots operating around people in factories, workplaces, and sidewalks, CHARISMA contributes to the fields of human-robot interaction and social robotics, regularly deploying robots in naturalistic human settings and entertainment contexts. *Speaker Bio:* Heather Knight runs the CHARISMA Robotics research group at Oregon State University, which applies methods from entertainment to the development of more effective and charismatic robots. Their research interests include minimal social robots, multi-robot/multi-human social interaction, and entertainment robots. Her previous work includes a postdoc at Stanford University that explores minimal robots and autonomous car interfaces, a PhD in Robotics at Carnegie Mellon University exploring Expressive Motion for Low Degree of Freedom Robots, and M.S. and B.S. degrees in Electrical Engineering & Computer Science at Massachusetts Institute of Technology, where she developed a sensate skin for a robot teddy bear at the MIT Media Lab. Additional past work includes robotics and instrumentation at NASA's Jet Propulsion Laboratory, sensor design at Aldebaran Robotics, and nine years of producing an annual Robot Film Festival exploring positive storytelling about robots. Additional honors include a robot flower garden installation at the Smithsonian/Cooper-Hewitt Design Museum, robot comedy on TED.com, and a British Video Music Award for OK GO's "This Too Shall Pass" music video featuring a two-floor Rube Goldberg Machine. *Please watch this space for future AI Seminars :* * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> For graduate students in the AI program, attendance is strongly encouraged.

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AI seminar: March 30, 2022
by Mangannavar, Rajesh Devaraddi 29 Mar '22

29 Mar '22

Dear all, Our first AI seminar for spring term on *"Distributional Kernels: an under-utilized resource" *by Kai Ming Ting is scheduled to be on March 30th (Tomorrow), *5-6 PM PST*. It will be followed by a 30 minute Q&A session by the graduate students (*6 PM to 6:30 PM PST)*. Please note the different timings from the usual timing for this talk. Zoom Link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *Distributional Kernels: an under-utilized resource* Kai Ming Ting Professor School of Artificial Intelligence Nanjing University *Abstract:* This seminar presents recent works on distributional kernels based on kernel mean embedding (KME). KME has a strong theoretical underpinning, and guarantees that the resultant kernel mean map is injective, i.e., the kernel mean maps of two distributions has their difference equals to zero if and only if the distributions are the same. Yet, KME's applications have been less successfully so far. One key breakthrough is the identification of the root cause of KME's (seemingly) failures, i.e., the use of Gaussian kernel. The seminar presents works, following this identification, that release the power of this under-utilized resource. The works demonstrate that the distributional kernels can solve long-standing problems, some of which have evaded decades of effort, in terms of efficiency and task-specific accuracy issues. These include point and group anomaly detections, clustering, and anomaly detections in trajectories, periodic time series and graphs/networks. *Speaker Bio:* After receiving his PhD from the University of Sydney, Australia, Kai Ming Ting worked at the University of Waikato (NZ), Deakin University, Monash University and Federation University in Australia. He joined Nanjing University in 2020. Research grants received include those from National Science Foundation of China, US Air Force of Scientific Research (AFOSR/AOARD), Australian Research Council, Toyota InfoTechnology Center and Australian Institute of Sport. He is one of the inventors of Isolation Forest, Isolation Kernel and Isolation Distributional Kernel. Isolation Forest is widely used in industries and academia. Isolation Kernel is a unique similarity measure which is derived from a dataset based on the same/similar isolation mechanism as Isolation Forest, and has no closed-form expression. Isolation Kernel and Isolation Distributonal Kernel are the X-factor that enables many problems to be solved more effectively and efficiently than existing algorithms which rely on Gaussian kernel or Euclidean distance. *Please watch this space for future AI Seminars :* * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> For graduate students in the AI program, attendance is strongly encouraged.

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Alignment Reading Group Scheduling
by Quintin Pope 29 Mar '22

29 Mar '22

Hello everyone, I and at least one other person can no longer make the original meeting time. I’m sending out this survey to decide on a new time: http://whenisgood.net/tbw5t8s. Thanks to Alex for suggesting our next discussion topic: https://www.gwern.net/Clippy > It might help to imagine a hard takeoff scenario using solely known sorts of NN & scaling effects… Below is a story which may help stretch your imagination and defamiliarize the 2022 state of machine learning. It’s a fictional timeline of AI causing an existential catastrophe after escaping from an ML experiment. I look forward to meeting you all! All the best, Quintin

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[CoRIS-List] OSU Robotics Seminar: Cristina Wilson, Human-robot teaming, April 1
by Ross L. Hatton 29 Mar '22

29 Mar '22

Hi All, Our first seminar of the spring term will be from Cristina Wilson of the University of Pennsylvania. ----- Title: A cognitive science approach to addressing bottlenecks in human-robot teaming during spatiotemporal search Speaker: Dr. Cristina Wilson Date/Time: Friday, April 1, 10-11 am https://oregonstate.zoom.us/j/93908195212?pwd=cEdoQVdac0JxMUpOSS9xVzZjVG5xU… Abstract: Robots are taking on increasingly important roles in human spatiotemporal search problems, e.g., planetary exploration, search and rescue, wildfire management. However, state-of-the-art robots are still struggling to support human experts’ reasoning and decision making in the type of complex and uncertain environments that characterize search problems. In this talk, I identify the common bottlenecks in human-driven search and share my work on how collaborative robots can ameliorate bottlenecks through improved cognitive interfacing with human teammates. For example, a bottleneck in the integration of new information from the environment with existing abstract search objectives can lead to inflexible and maladaptive decisions about where to explore next. Computational models that translate abstract human objectives into quantitative actions (rendered as scripts) allow mobile robot assistants to aid in real-time information search. In this manner, understandings of human cognition and behavior expectations are used to inform and complement machine intelligence, endowing robots with representations of human reasoning and decision processes, so robots can, in turn, produce explainable search behaviors to the satisfaction of human teammates. About the speaker: Dr. Wilson is currently a postdoctoral fellow studying collaborative human-robot teaming in the General Robotics, Automation, Sensing and Perception laboratory at the University of Pennsylvania. She received her PhD in cognitive psychology in 2018 from Washington State University, developing expertise in the study of human cognition and behavior. Dr. Wilson’s research emphasizes the human mind in human-robot teaming, designing robotic systems that can understand human objectives and support adaptive decision making. She works closely with domain expert end-users to understand the cognitive challenges to effective robot teaming, thereby enhancing robot systems application in their domains. =========== 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] Oregon State Robotics Spring 2022 Seminar Series
by Ross L. Hatton 28 Mar '22

28 Mar '22

Hi All, Here is the completed schedule for the OSU Robotics seminar series this spring. (Individual announcements with more details on each talk will be sent out closer to the talk dates.) For most of these seminars (with the notable exception of April 1), the speakers will be present in person, and we will continue to simulcast the presentations over Zoom. Seminars will be from 10-11am, with an 11-11:30 students-only discussion. The seminars will be held in LINC 268 (note that this is different from the room we had in Fall and Winter terms) The Zoom link is https://oregonstate.zoom.us/j/93908195212?pwd=cEdoQVdac0JxMUpOSS9xVzZjVG5xU…. --- 4/1/2022 Cristina Wilson -UPenn GRASP Lab & RAD Lab -Collaborative human-robot teaming -https://www.radlab.us 4/8/2022 RGSA Round Table 4/15/2022 Chris Neider -Starship Technologies -Food delivery robots -https://www.starship.xyz/ 4/22/2022 Kim Ingraham -University of Washington Mechanical Engineering, Rehabilitation Medicine -Biomechanics and wearable robots -https://kim-ingraham.com 4/29/2022 Anna Nickelson -OSU Robotics -"How to give a good presentation" 5/6/2022 Shai Revzen -University of Michigan Electrical Engineering -Dynamics, bioinspired, legged locomotion -https://robotics.umich.edu/profile/shai-revzen/ 5/13/2022 ICRA practice talks 5/20/2022 Chris Sanchez -OSU Psychology -Human use of computing technology -https://liberalarts.oregonstate.edu/users/christopher-sanchez 5/27/2022 No seminar: ICRA 6/3/2022 Edward Wang -UCSD ECE & Design Lab -Design and health monitoring -https://www.ejaywang.com (Kristen Macuga from OSU Psychology was originally scheduled to speak this term, but has rescheduled for the Fall) =========== 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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