Search Results - "Lee, Alex X"

Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation by Lee, Alex X., Gupta, Abhishek, Lu, Henry, Levine, Sergey, Abbeel, Pieter

“…Learning from demonstration by means of non-rigid point cloud registration is an effective tool for learning to manipulate a wide range of deformable objects…”
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How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation by Lee, Alex X., Devin, Coline, Springenberg, Jost Tobias, Zhou, Yuxiang, Lampe, Thomas, Abdolmaleki, Abbas, Bousmalis, Konstantinos

“…Reinforcement learning (RL) has been shown to be effective at learning control from experience. However, RL typically requires a large amount of online…”
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Learning force-based manipulation of deformable objects from multiple demonstrations by Lee, Alex X., Lu, Henry, Gupta, Abhishek, Levine, Sergey, Abbeel, Pieter

“…Manipulation of deformable objects often requires a robot to apply specific forces to bring the object into the desired configuration. For instance, tightening…”
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Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects by Lee, Alex X., Huang, Sandy H., Hadfield-Menell, Dylan, Tzeng, Eric, Abbeel, Pieter

“…Recent work [1], [2] has shown promising results in enabling robotic manipulation of deformable objects through learning from demonstrations. Their method…”
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How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation by Lee, Alex X, Devin, Coline, Springenberg, Jost Tobias, Zhou, Yuxiang, Lampe, Thomas, Abdolmaleki, Abbas, Bousmalis, Konstantinos

“…Reinforcement learning (RL) has been shown to be effective at learning control from experience. However, RL typically requires a large amount of online…”
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Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model by Lee, Alex X, Nagabandi, Anusha, Abbeel, Pieter, Levine, Sergey

“…Deep reinforcement learning (RL) algorithms can use high-capacity deep networks to learn directly from image observations. However, these high-dimensional…”
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Learning Visual Servoing with Deep Features and Fitted Q-Iteration by Lee, Alex X, Levine, Sergey, Abbeel, Pieter

“…Visual servoing involves choosing actions that move a robot in response to observations from a camera, in order to reach a goal configuration in the world…”
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Self-Supervised Visual Planning with Temporal Skip Connections by Ebert, Frederik, Finn, Chelsea, Lee, Alex X, Levine, Sergey

“…In order to autonomously learn wide repertoires of complex skills, robots must be able to learn from their own autonomously collected data, without human…”
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RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation by Bousmalis, Konstantinos, Vezzani, Giulia, Rao, Dushyant, Devin, Coline, Lee, Alex X, Bauza, Maria, Davchev, Todor, Zhou, Yuxiang, Gupta, Agrim, Raju, Akhil, Laurens, Antoine, Fantacci, Claudio, Dalibard, Valentin, Zambelli, Martina, Martins, Murilo, Pevceviciute, Rugile, Blokzijl, Michiel, Denil, Misha, Batchelor, Nathan, Lampe, Thomas, Parisotto, Emilio, Żołna, Konrad, Reed, Scott, Colmenarejo, Sergio Gómez, Scholz, Jon, Abdolmaleki, Abbas, Groth, Oliver, Regli, Jean-Baptiste, Sushkov, Oleg, Rothörl, Tom, Chen, José Enrique, Aytar, Yusuf, Barker, Dave, Ortiz, Joy, Riedmiller, Martin, Springenberg, Jost Tobias, Hadsell, Raia, Nori, Francesco, Heess, Nicolas

“…The ability to leverage heterogeneous robotic experience from different robots and tasks to quickly master novel skills and embodiments has the potential to…”
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Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning by Ebert, Frederik, Dasari, Sudeep, Lee, Alex X, Levine, Sergey, Finn, Chelsea

“…Prediction is an appealing objective for self-supervised learning of behavioral skills, particularly for autonomous robots. However, effectively utilizing…”
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Stochastic Adversarial Video Prediction by Lee, Alex X, Zhang, Richard, Ebert, Frederik, Abbeel, Pieter, Finn, Chelsea, Levine, Sergey

“…Being able to predict what may happen in the future requires an in-depth understanding of the physical and causal rules that govern the world. A model that is…”
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Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes by Lee, Alex X, Devin, Coline, Zhou, Yuxiang, Lampe, Thomas, Bousmalis, Konstantinos, Springenberg, Jost Tobias, Byravan, Arunkumar, Abdolmaleki, Abbas, Gileadi, Nimrod, Khosid, David, Fantacci, Claudio, Chen, Jose Enrique, Raju, Akhil, Jeong, Rae, Neunert, Michael, Laurens, Antoine, Saliceti, Stefano, Casarini, Federico, Riedmiller, Martin, Hadsell, Raia, Nori, Francesco

“…We study the problem of robotic stacking with objects of complex geometry. We propose a challenging and diverse set of such objects that was carefully designed…”
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A non-rigid point and normal registration algorithm with applications to learning from demonstrations by Lee, Alex X., Goldstein, Max A., Barratt, Shane T., Abbeel, Pieter

“…Recent work [1], [2], [3] has shown promising results in learning from demonstrations for the manipulation of deformable objects. Their approach finds a…”
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Beyond lowest-warping cost action selection in trajectory transfer by Hadfield-Menell, Dylan, Lee, Alex X., Finn, Chelsea, Tzeng, Eric, Huang, Sandy, Abbeel, Pieter

“…We consider the problem of learning from demonstrations to manipulate deformable objects. Recent work [1], [2], [3] has shown promising results that enable…”
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