The visions of interconnected heterogeneous autonomous robots in widespread use are a coming reality that will reshape our world. To achieve this goal, robots will need to learn manipulation skills that can be applied to a wide range of objects and task scenarios. The talk will cover human-robot interaction methods for socially assistive robotics that utilize multi-modal interaction data and expressive and persuasive robot behavior to monitor, coach, and motivate users to engage in health, wellness, education and training activities. If you would like to get regular email SRP extends our efforts to crowdsource robot learning from demonstration at scale through messaging protocols suited to web/cloud robotics. Special seminars Students will be forming teams and implementing algorithms on 1/10th sized rally cars as part of their assignments. Her research interests are manipulation and reinforcement learning. Prof. Jenkins is currently serving as Editor-in-Chief for the ACM Transactions on Human-Robot Interaction. A pioneer of socially assistive robotics, her lab’s research is developing personalized human-robot interaction methods for convalescence, rehabilitation, training, and education that have been validated in autism, stroke, Alzheimer’s, and other domains. Prof. Shah has been recognized by the National Science Foundation with a Faculty Early Career Development (CAREER) award and by MIT Technology Review on its 35 Innovators Under 35 list. While this approach enables the agent to reason at a suitably high level of abstraction, it means that the agent must learn in a large and complex action space that can make policy learning difficult. Her work on industrial human-robot collaboration was also in Technology Review’s 2013 list of 10 Breakthrough Technologies. here. He is interested in developing robots that can perform complex manipulation tasks alongside humans in the uncertain everyday world. He received his Masters and Bachelors degrees in engineering from the University of Cambridge in 2008. Advanced Networking. Every team has top performers -- people who excel at working in a team to find the right solutions in complex, difficult situations. Robotics and State Estimation Lab. Prior to coming to Northeastern, he was a Research Scientist at MIT and a technical lead at NASA Johnson Space Center. An attractive approach is to give the agent access to a ``spatial action space'' where actions correspond to positions and orientations in SE(2) or SE(3). The pandemic has also challenged our notions of how effective (as well as inclusive and equitable) our AI, ML, and robotics technologies currently are. The RSE-Lab was established in 2001. CS 142. Rob Platt is an Associate Professor in the Khoury College of Computer Sciences at Northeastern University. Robotics and State Estimation Lab. Read More. She has received international recognition in the form of best paper awards and nominations from the ACM/IEEE International Conference on Human-Robot Interaction, the American Institute of Aeronautics and Astronautics, the Human Factors and Ergonomics Society, the International Conference on Automated Planning and Scheduling, and the International Symposium on Robotics. I will present our efforts towards accessible and general methods of robot programming from the demonstrations of human users. She is Fellow of AAAS, IEEE, AAAI, and ACM, recipient of the US Presidential Award for Excellence in Science, Mathematics & Engineering Mentoring from President Obama, Anita Borg Institute Women of Vision, NSF Career, MIT TR35 Innovation, and IEEE RAS Early Career Awards. Robot Learning Lab. To investigate such systems, we focus on problems in robotics and activity recognition. To achieve this goal, robots will need to learn manipulation skills that can be applied to a wide range of objects and task scenarios. I will also discuss ongoing efforts in the MIT Schwarzman College of Computing to advance Social and Ethical Responsibilities of Computing (SERC) in the teaching, research, and implementation of computing. Waterloo Engineering has the largest and most active robotics and factory automation research group in Canada. Biography: Visit our COVID-19 information website to learn how Warriors protect Warriors. Furthermore, very little work has been done on the even more difficult problem of safe imitation learning, in which the demonstrator's reward function is not known. 2020-2021 Capstones Fall 2020. Maja Matarić is Chan Soon-Shiong Distinguished Professor of Computer Science, Neuroscience, and Pediatrics at USC, founding director of the Robotics and Autonomous Systems Center and interim Vice President of Research. Electrical Engineering Department and the University of Washington (UW) offers a Masters in Science in Electrical Engineering: Systems, Controls, & Robotics (Robotics Option). The proposed algorithms offer a blend of safety and practicality, making a significant step towards high-confidence robot learning with modest amounts of real-world data. Just a few kilometres from campus, Aeryon Labs, 2G Robotics, Clearpath Robotics, Avidbots and Intellijoint, all founded by Waterloo Engineering graduates, have earned reputations as global industry leaders. With such scaling of robotics in mind, prospects for cultivating both equal opportunity and technological excellence will be discussed in the context of broadening and strengthening Title IX and Title VI. I will also discuss ongoing efforts in the MIT Schwarzman College of Computing to advance Social and Ethical Responsibilities of Computing (SERC) in the teaching, research, and implementation of computing. With over 45 faculty members conducting research, we have a wide breadth of expertise in all areas of advanced robotics, factory automation and complementary fields. Prof. Jenkins is currently serving as Editor-in-Chief for the ACM Transactions on Human-Robot Interaction. Abstract: Prior to joining UT Austin, Scott was a postdoctoral research fellow at the Carnegie Mellon Robotics Institute and received his Ph.D. from the Department of Computer Science at the University of Massachusetts Amherst. SRP extends our efforts to crowdsource robot learning from demonstration at scale through messaging protocols suited to web/cloud robotics. From 2009 to 2011, he was a Ph.D. student at the Max Planck Institute for Intelligent Systems. Network Performance Analysis. Biography: announcements and reminders about the robotics colloquium speakers, UW Robotics and State Estimation Lab. Before joining CMU, Dr. Kroemer was a postdoctoral researcher at the University of Southern California (USC) for two and a half years. This talk proposes several ideas that can facilitate robotic policy learning in spatial action spaces. Prof. Jenkins has been recognized as a Sloan Research Fellow and is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE). She is expanding the use of human cognitive models for artificial intelligence and has translated her work to manufacturing assembly lines, healthcare applications, transportation and defense. Biography: Johns Hopkins University Whiting School of Engineering offers a Master of Science in Engineering in Robotics (Robotics MSE) with a specialization in Medical Robotics and Computer-Integrated Surgical System. She earned degrees in aeronautics and astronautics and in autonomous systems from MIT. Abstract: Before learning robots can be deployed in the real world, it is critical that probabilistic guarantees can be made about the safety and performance of such systems. At the crossroads of robotics, artificial intelligence and algorithms, this graduate level course delves into the theory and algorithms that enable robots to physically interact with and manipulate their environment. The Allen School is committed to expanding our global leadership and impact in computer science and computer engineering research. The work is evaluated in simulation and on physical systems on challenging manipulation tasks. The work is evaluated in simulation and on physical systems on challenging manipulation tasks. No experience is necessary to join in autumn quarter. … In recent years, so-called "high-confidence" reinforcement learning algorithms have enjoyed success in application areas with high-quality models and plentiful data, but robotics remains a challenging domain for scaling up such approaches. CS/EE 143. ME/CS 131. This talk proposes several ideas that can facilitate robotic policy learning in spatial action spaces. Abstract: The group carries out large-scale collaborative projects across laboratories as well as engages in campus-level educational and outreach efforts. Outstanding research challenges and commercialization pathways will be also be discussed. Human-Centered Robotics Lab Paul G. Allen School of Computer Science & Engineering University of Washington. The current pandemic has both caused and exposed unprecedented levels of health & wellness, education, and training needs worldwide, which must increasingly be addressed in the home. in Computer Science and Mathematics at Alma College (1996), M.S. Gilwoo has received B.S. outside this schedule are indicated below. The Paul G. Allen School of Computer Science & Engineering has approximately 70 full-time faculty. These top performers include nurses who run hospital floors, emergency response teams, air traffic controllers, and factory line supervisors. With over 45 faculty members conducting research, we have a wide breadth of expertise in all areas of advanced robotics, factory automation and complementary fields. Much of his work is at the intersection of robotic policy learning, planning, and perception. CS/EE 145. Maja Matarić is Chan Soon-Shiong Distinguished Professor of Computer Science, Neuroscience, and Pediatrics at USC, founding director of the Robotics and Autonomous Systems Center and interim Vice President of Research. Former Allen School postdoc Byron Boots returns to the University of Washington this fall after spending five years on the faculty of Georgia Institute of Technology, where he leads the Georgia Tech Robot Learning Lab. Patrícia Alves-Oliveira joins our lab as a Postdoc. Advanced Robotics: Navigation and Vision. She is active in K-12 and diversity outreach. The Robotics Colloquium features talks by invited and local researchers Communication Networks. From 2009 to 2011, he was a Ph.D. student at the Max Planck Institute for Intelligent Systems. Fox joined the UW faculty in 2000 after obtaining his Ph.D. from the University of Bonn in Germany and completing a postdoc at Carnegie Mellon University with robotics pioneer Sebastian Thrun. CS/EE 147. Prereq: CSE 369 and 474. CSE 481DS: Data Science Capstone - … While this approach enables the agent to reason at a suitably high level of abstraction, it means that the agent must learn in a large and complex action space that can make policy learning difficult. We will begin with a primer on the representation of the planning problem, and the geometry of manipulation configuration space. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Welcome Patrícia! Scott Niekum is an Assistant Professor and the director of the Personal Autonomous Robotics Lab (PeARL) in the Department of Computer Science at UT Austin. I will conclude by discussing how robots can use interactions and multimodal sensing to learn manipulation-oriented representations of different materials. Similar to "app stores" for modern computing, people at varying levels of technical background will contribute to "robot app stores" as designers and developers. While they may outperform the most sophisticated optimization and scheduling algorithms, they cannot often tell us how they do it. Located on the first floor of the Faculty's new Engineering 7 building, the RoboHub is one of the most technologically sophisticated robotics research, testing and training facilities in North America and around the world. Prof. Jenkins earned his B.S. please sign up for I will present our efforts towards accessible and general methods of robot programming from the demonstrations of human users. in Robotics from Carnegie Mellon University. Similarly, even when a machine can do the job better than most of us, it can’t explain how. Our studies demonstrate statistically significant improvements in people’s performance on military, healthcare and manufacturing tasks, when aided by intelligent machine teammates. Prior to coming to Northeastern, he was a Research Scientist at MIT and a technical lead at NASA Johnson Space Center. Personal Robotics Lab, Robotics and State Estimation Lab. In order for people to fluently program autonomous robots, a robot must be able to interpret user instructions that accord with that user’s model of the world. He is a Fellow of the American Association for the Advancement of Science, and Senior Member of the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers. In this talk, I will be presenting recent work from my lab on structuring manipulation tasks for more efficient learning. While model free reinforcement learning has recently had many successes, it is not yet clear how or whether it is the best approach to planning and control for robotic manipulation. In this talk, I will be presenting recent work from my lab on structuring manipulation tasks for more efficient learning. Welcome Patrícia! Fridays between 1:30-2:30pm (virtually over Zoom - details will be sent over the mailing list). However, current paradigms to program robots beyond simple cases remains inaccessible to all but the most sophisticated of developers and researchers. His research addresses problems in interactive robotics and human-robot interaction, primarily focused on mobile manipulation, robot perception, and robot learning from demonstration. This talk focuses on new developments in three key areas for scaling safe learning to robotics: (1) a theory of safe imitation learning; (2) scalable reward inference in the absence of models; (3) efficient policy evaluation. In the future, we want to create robots with the robustness and versatility to operate in unstructured and everyday environments. In the future, we want to create robots with the robustness and versatility to operate in unstructured and everyday environments. The University of Washington Master of Science in Technology Innovation program prepares you to develop connected devices and robotics solutions that address real-world problems. The state-of-the-art space provides a collaborative environment where students, researchers and industry partners can put robots through their paces and analyze performance with a 24-hour camera motion tracking system. We posit a critical missing component is the grounding of semantic symbols in a manner that addresses both uncertainty in low-level robot perception and intentionality in high-level reasoning. CSE 490R: Robotics. He defended his Ph.D. thesis on Machine Learning for Robot Grasping and Manipulation in 2014 at the Technische Universitaet Darmstadt. Details of previous Robotics Colloquiua can be found Check out our 360 tour of the Waterloo RoboHub. I will begin by discussing how modularity can be used to break down challenging manipulation tasks to learn general object-centric solutions. Computer Science majors are encouraged to take a Capstone, although it is not required for CS. The challenge is that many aspects of such a model are difficult or impossible for the robot to sense directly. Waterloo Engineering alumni company Clearpath Robotics has secured an additional US $5 million to fuel global growth of Otto Motors, its industrial division. Power System Analysis. contact Karthik Desingh. Odest Chadwicke Jenkins, Ph.D., is a Professor of Computer Science and Engineering and Associate Director of the Robotics Institute at the University of Michigan. The talk will cover human-robot interaction methods for socially assistive robotics that utilize multi-modal interaction data and expressive and persuasive robot behavior to monitor, coach, and motivate users to engage in health, wellness, education and training activities. Nick Walker. Hello! Similarly, even when a machine can do the job better than most of us, it can’t explain how. Over the past few years, deep learning has become an important technique to successfully solve problems in many different fields, such as vision, NLP, robotics. Advanced Robotics: Manipulation and Sensing. Before joining CMU, Dr. Kroemer was a postdoctoral researcher at the University of Southern California (USC) for two and a half years. I am an Associate Professor in the Paul G. Allen School of Computer Science and Engineering (CSE) at the University of Washington where I direct the UW Robot Learning Laboratory. CS students are welcome to register for remaining capstone space but we will not be pre-registering CS majors due to space limitations. I am a Professor in the Department of Computer Science & Engineering at the University of Washington. Rob Platt is an Associate Professor in the Khoury College of Computer Sciences at Northeastern University. Before joining the faculty, she worked at Boeing Research and Technology on robotics applications for aerospace manufacturing. EE/CS/EST 135. in Computer Science from MIT, and has received M.S. In the realm of factory automation, we explore areas including human-robot interaction, material tracking and full-cycle manufacturing. I discuss the development of computational models that enable machines to efficiently infer the mental state of human teammates and thereby collaborate with people in richer, more flexible ways. Our vision is to look at robotics in terms of fundamental research and applications from designing robots that deliver coffee, to robots that can defuse land mines or perform surgery. I joined the UW faculty in the fall of 2000. In contrast to procedural methods for motion imitation in configuration space, SRP is suited to generalize user demonstrations of goal scenes in workspace, such as for manipulation in cluttered environments. U.S. Robotics Corporation, often called USR, is a company that produces USRobotics computer modems and related products. Waterloo Engineering has the largest and most active robotics and factory automation research group in Canada. Use your mouse to click and drag to get a full 360 degree view of the RoboHub. learning, mechanical design, and interaction. Prof. Jenkins has been recognized as a Sloan Research Fellow and is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE). Methods and results will be presented that include modeling, learning, and personalizing the enhancement of user motivation, engagement, and coaching, with validation from studies involving healthy children and adults, stroke patients, Alzheimer's patients, and children with autism spectrum disorders, and other user populations, in short and long-term (month+) deployments in schools, therapy centers, and homes. I will discuss how robots can use model-based reasoning to identify relevant context parameters for adapting skills as well as determining when to learn a skill. The Waterloo Region is well known for its robotics expertise, due in large part to Waterloo Engineering. Her work on industrial human-robot collaboration was also in Technology Review’s 2013 list of 10 Breakthrough Technologies. In this talk I share recent work investigating effective ways to blend the unique decision-making strengths of humans and machines. He previously served on the faculty of Brown University in Computer Science (2004-15). He is also a core faculty member in the interdepartmental robotics group at UT. We offer a supportive environment in which our faculty and students are empowered to pursue the next great advances — whether at the core of the field, or in emerging areas that address humankind’s greatest challenges through the transformative power of computing. Odest Chadwicke Jenkins, Ph.D., is a Professor of Computer Science and Engineering and Associate Director of the Robotics Institute at the University of Michigan. in Computer Science and Mathematics and M.Eng. Prof. Shah has been recognized by the National Science Foundation with a Faculty Early Career Development (CAREER) award and by MIT Technology Review on its 35 Innovators Under 35 list. Robotics and State Estimation Lab. In contrast to procedural methods for motion imitation in configuration space, SRP is suited to generalize user demonstrations of goal scenes in workspace, such as for manipulation in cluttered environments. The nexus of advances in robotics, NLU, and machine learning has created opportunities for personalized robots for the ultimate robotics frontier: the home. Biography: The current pandemic has both caused and exposed unprecedented levels of health & wellness, education, and training needs worldwide, which must increasingly be addressed in the home. She is also co-founder of Embodied, Inc. Every team has top performers -- people who excel at working in a team to find the right solutions in complex, difficult situations. He defended his Ph.D. thesis on Machine Learning for Robot Grasping and Manipulation in 2014 at the Technische Universitaet Darmstadt. This talk focuses on new developments in three key areas for scaling safe learning to robotics: (1) a theory of safe imitation learning; (2) scalable reward inference in the absence of models; (3) efficient policy evaluation. With the fall 2018 opening of the Waterloo RoboHub, we’re now able to further revolutionize robotics. Distributed Computing. Acknowledgments: Content for this course was also designed by members of the MuSHR team from Personal Robotics Lab - Johan Michalove (michajoh at cs dot uw dot edu) and Colin Summers (colin at cs dot uw dot edu). Such a grounding will enable robots to fluidly work with human collaborators to perform tasks that require extended goal-directed autonomy. The Robotics Colloquium features talks by invited and local researchers on all aspects of robotics, including control, perception, machine learning, mechanical design, and interaction. Undergraduate Programs Contact: ugrad-advisor@cs.washington.edu The Allen School offers two undergraduate majors: the Bachelor of Science in Computer Science, awarded through the College of Arts and Sciences, and the Bachelor of Science in Computer Engineering, awarded through the College of Engineering.For both majors, we are proud to offer a rigorous and engaging curriculum that prepares … I am currently sharing my time between UW and Nvidia, where I’m leading the Robotics Research Lab in Seattle. ME/CS 132 ab. The UW–Madison Robotics Group is a campus-wide group of faculty, students, and staff carrying out research related to robotics from three departments and six research laboratories. Our recent work has focused on Semantic Robot Programming (SRP), a declarative paradigm for robot programming by demonstration that builds on semantic mapping. CSE/EE 475: Embedded Systems (Taught by CSE) - Bruce Hemingway. Projects in Networking. He is an alumnus of the Defense Science Study Group (2018-19). CSE 599W: Systems for ML. We will cover topics related to state estimation (bayes filtering, probabilistic motion and sensor models), control (feedback, Lyapunov, LQR, MPC), planning (roadmaps, heuristic search, incremental densification) and online learning. She earned degrees in aeronautics and astronautics and in autonomous systems from MIT. The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. In this talk I share recent work investigating effective ways to blend the unique decision-making strengths of humans and machines. The Robotics Engineering, Applied Control and Haptics Lab, located at the University of Wisconsin - Madison, is focused on the investigation of a wide range of human-centered robotics topics including medical robotics, manufacturing, and haptics. He focuses on the development of theory and systems that tightly integrate perception, le… Jacob Sacks. I will conclude by discussing how robots can use interactions and multimodal sensing to learn manipulation-oriented representations of different materials. If you would like to give a talk in upcoming Robotics Colloquia, please The proposed algorithms offer a blend of safety and practicality, making a significant step towards high-confidence robot learning with modest amounts of real-world data. Our primary project is participation in the University Rover Challenge, where we design, build, program, and test a Mars Rover for a series of simulated missions. I will discuss how robots can use model-based reasoning to identify relevant context parameters for adapting skills as well as determining when to learn a skill.