Search for tag: "irim seminar series"
Guanya Shi - Unifying Semantic and Physical Intelligence for Generalist Humanoid RobotsHumanoid robots offer two unparalleled advantages in general-purpose embodied intelligence. First, humanoids are built as generalist robots that can potentially do all the tasks humans can do in…
From Katie Gentilello
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Levi Hargrove - Regenstein Center for Bionic Medicine: Intuitive Control of Bionic LimbsAmputation is a leading cause of disability, and prosthetic devices are commonly accepted treatment options to restore functional capabilities. However, current prosthetic devices still cannot fully…
From Katie Gentilello
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Talia Moore - A symbiotic philosophy for bio-inspired roboticsHumans have frequently looked to natural phenomena to inspire the design of art, structures, and mechanisms. However, there are as many different ways to learn from nature as there are words for this…
From Katie Gentilello
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Masayoshi Tomizuka - From State Space Control to Intelligent Machines: A Five-Decade Journey in Mechanical Systems ControlMasayoshi Tomizuka joined the Mechanical Engineering Department of UC Berkeley in 1974 after obtaining a PhD from MIT in the same year. It was an exciting time for someone in the field of dynamic…
From Katie Gentilello
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Todd Murphey - Control Principles for Robot LearningEmbodied learning systems rely on motion synthesis to enable efficient and flexible learning during continuous online deployment. Motion motivated by learning needs can be found throughout natural…
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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Koushil Sreenath - Dynamic Legged LocoManipulation: Balancing Reinforcement Learning with Model-Based ControlModel-based control methods such as control Lyapunov and control barrier functions can provide formal guarantees of stability and safety for dynamic legged locomotion, given a precise model of the…
From Katie Gentilello
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Allison Okamura - Sort robots for humanityTraditional robotic manipulators are constructed from rigid links and localized joints, which enables large forces and workspaces but creates challenges for safe and comfortable interaction with the…
From Katie Gentilello
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Joohyung Kim - Towards Human-Friendly Robots: We need more Robots at HomeThe demand for robots that can work in close proximity and interact physically with humans has been increasing. Currently, there are robots in airports, restaurants, and amusement parks that guide,…
From Katie Gentilello
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Howie Choset - Making Large Dimensional Problems Small AgainMotion is all around us. Motion is particularly interesting when it has many degrees of freedom. This talk covers the design, sensing, and planning for snake, multi-agent and modular robot high DOF…
From Katie Gentilello
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Shreyas Kousik - The Right Stuff: Representing Safety to Get Robots Out in the Real WorldAutonomous robots have the incredible potential to aid people by taking on difficult tasks and working alongside us. However, it will be difficult to trust robots in widespread deployment without…
From Katie Gentilello
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Veronica Santos - Get in touch: Tactile perception for human-robot systemsCompared to vision, the complementary sense of touch has yet to be broadly integrated into robotic systems that physically interact with the world. An artificial sense of touch is especially useful…
From Katie Gentilello
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Mazen Farhood - Robust Control Tools for Validating UAS Flight ControllersThis talk presents a framework based on robust control theory to aid in the certification process of unmanned aircraft system (UAS) flight controllers. Uncertainties are characterized and quantified…
From Katie Gentilello
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Zachary Manchester - Composable Optimization for Robotic Motion Planning and ControlContact interactions are pervasive in key real-world robotic tasks like manipulation and walking. However, the non-smooth dynamics associated with impacts and friction remain challenging to model,…
From Katie Gentilello
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