Search for tag: "irim robotics seminar series"
Feifei Qian - Robotic Locomotion and Sensing on Deformable TerrainsAchieving robust mobility on natural and deformable terrains is pivotal for robots to operate effectively in real-world scenarios. Despite remarkable progress in robotics hardware and software,…
From Katie Gentilello
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Kevin Lynch - Autonomous and Human-Collaborative Robotic ManipulationResearch at the Center for Robotics and Biosystems at Northwestern University includes bio-inspiration, neuromechanics, human-machine systems, and swarm robotics, among other topics. In this talk I…
From Katie Gentilello
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Michael Posa - Do We Really Need all that Data? Learning and Control for Contact-rich ManipulationFor all the promise of big-data machine learning, what will happen when robots deploy to our homes and workplaces and inevitably encounter new objects, new tasks, and new environments? If a solution…
From Katie Gentilello
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Career Options in Robotics: Academia vs. IndustryLast semester, our panel discussed finding faculty positions in robotics.This semester, we continue that discussion and take a broader look atcareer options with a particular focus on academia vs…
From Katie Gentilello
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Jan Peters - Robot Skill Learning: Quo Vadis?Autonomous robots that can assist humans in situations of daily life have been a long standing vision of robotics, artificial intelligence, and cognitive sciences. A first step towards this goal is…
From Katie Gentilello
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Craig Buhr - Reinforcement Learning: Leveraging Deep Learning for ControlsReinforcement learning is getting a lot of attention lately. People are excited about its potential to solve complex problems in areas such as robotics and automated driving, where traditional…
From Katie Gentilello
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Physics-based Manipulation with and Around People - Siddhartha SrinivasaRobots manipulate with super-human speed and dexterity on factory floors, but they fail even under moderate amounts of clutter or uncertainty. However, human teleoperators perform remarkable acts of…
From Katie Gentilello
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Developing Sensing and Robotics Technologies for Plant Phenomics - Changying "Charlie" LiFeeding a world population of 9 billion people by 2050 amidst increasing climate variability is one of the greatest challenges facing humanity. The genomics revolution provides unprecedented power to…
From Katie Gentilello
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Stochastic Models in Robotics - Gregory ChirikjianMany stochastic problems of interest in engineering and science involve random, rigid-body motions. In this talk, a variety of stochastic phenomena that evolve on the group of rigid-body motions will…
From Katie Gentilello
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Shared Control of Functional Electrical Stimulation and an Electric Motor in a Hybrid Neuroprosthesis - Nitin SharmaFunctional Electrical Stimulation (FES) can be used to artificially activate paralyzed lower limb muscles to restore walking and standing function in persons with neurological disorders. Despite its…
From Katie Gentilello
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Behind the Scenes: Decoding Intent from First Person Video - Hyun Soo ParkA first-person video records not only what is out in the environment but also what is in our head (intention and attention) at the time via social and physical interactions. It is invisible but it…
From Katie Gentilello
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Robust Agility and Safety for Dynamic Aerial Manipulation and Legged Locomotion - Koushil SreenathBiological systems are able to move with great elegance, agility, and efficiency in a wide range of environments. Endowing machines with similar capabilities requires designing controllers that can…
From Katie Gentilello
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Closing the Gap Between Machine Learning and Robotics - Byron BootsGiven a stream of multimodal sensory data, an autonomous robot must continuously refine its understanding of itself and its environment as it makes decisions on how to act to achieve a goal. These…
From Katie Gentilello
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Weakly Supervised Learning from Images and Video - Ivan LaptevRecent progress in visual recognition goes hand-in-hand with the supervised learning and large-scale training data. While the number of existing images and videos is huge, their detailed annotation…
From Katie Gentilello
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Beyond Geometric Path Planning: Paradigms and Algorithms for Modern Robotics - Kris HauserThe development of algorithms to quickly compute collision-free paths for high dimensional systems was a major achievement in the field of motion planning in the 2000s. Despite this progress, recent…
From Katie Gentilello
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Toward Robots that Understand People and Their Environment - Dieter FoxTo interact and collaborate with people in a natural way, robots must be able to recognize objects in their environments, accurately track the actions of humans, and estimate their goals and…
From Katie Gentilello
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