Search Results - "Sutanto, Giovanni"

Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed by Sutanto, Giovanni, Rombach, Katharina, Chebotar, Yevgen, Su, Zhe, Schaal, Stefan, Sukhatme, Gaurav S., Meier, Franziska

“…Robots need to be able to adapt to unexpected changes in the environment such that they can autonomously succeed in their tasks. However, hand-designing…”
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Leveraging Structure for Learning Robot Control and Reactive Planning by Sutanto, Giovanni

“…Traditionally, models for control and motion planning were derived from physical properties of the system. While such a classical approach provides…”
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Learning feedback terms for reactive planning and control by Rai, Akshara, Sutanto, Giovanni, Schaal, Stefan, Meier, Franziska

“…With the advancement of robotics, machine learning, and machine perception, increasingly more robots will enter human environments to assist with daily tasks…”
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Design and Construction of “ArtRo” Omnidirectional Walking Bipedal Robot using Hierarchical Reactive Behaviors Control Architecture by Sutanto, Giovanni, Mutijarsa, Kusprasapta, Hindersah, Hilwadi

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Learning Latent Space Dynamics for Tactile Servoing by Sutanto, Giovanni, Ratliff, Nathan, Sundaralingam, Balakumar, Chebotar, Yevgen, Su, Zhe, Handa, Ankur, Fox, Dieter

“…To achieve a dexterous robotic manipulation, we need to endow our robot with tactile feedback capability, i.e. the ability to drive action based on tactile…”
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Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks by Sutanto, Giovanni, Su, Zhe, Schaal, Stefan, Meier, Franziska

“…In order to robustly execute a task under environmental uncertainty, a robot needs to be able to reactively adapt to changes arising in its environment. The…”
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Differentiable and Learnable Robot Models by Meier, Franziska, Wang, Austin, Sutanto, Giovanni, Lin, Yixin, Shah, Paarth

“…Building differentiable simulations of physical processes has recently received an increasing amount of attention. Specifically, some efforts develop…”
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Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed by Sutanto, Giovanni, Rombach, Katharina, Chebotar, Yevgen, Su, Zhe, Schaal, Stefan, Sukhatme, Gaurav S, Meier, Franziska

“…Robots need to be able to adapt to unexpected changes in the environment such that they can autonomously succeed in their tasks. However, hand-designing…”
Get full text

Learning Equality Constraints for Motion Planning on Manifolds by Sutanto, Giovanni, Fernández, Isabel M. Rayas, Englert, Peter, Ramachandran, Ragesh K, Sukhatme, Gaurav S

“…Constrained robot motion planning is a widely used technique to solve complex robot tasks. We consider the problem of learning representations of constraints…”
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Learning Manifolds for Sequential Motion Planning by Fernández, Isabel M. Rayas, Sutanto, Giovanni, Englert, Peter, Ramachandran, Ragesh K, Sukhatme, Gaurav S

“…Motion planning with constraints is an important part of many real-world robotic systems. In this work, we study manifold learning methods to learn such…”
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Encoding Physical Constraints in Differentiable Newton-Euler Algorithm by Sutanto, Giovanni, Wang, Austin S, Lin, Yixin, Mukadam, Mustafa, Sukhatme, Gaurav S, Rai, Akshara, Meier, Franziska

“…Proceedings of the 2nd Conference on Learning for Dynamics and Control, PMLR 120:804-813, 2020 The recursive Newton-Euler Algorithm (RNEA) is a popular…”
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Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks by Sutanto, Giovanni, Su, Zhe, Schaal, Stefan, Meier, Franziska

“…In order to robustly execute a task under environmental uncertainty, a robot needs to be able to reactively adapt to changes arising in its environment. The…”
Get full text

Learning Latent Space Dynamics for Tactile Servoing by Sutanto, Giovanni, Ratliff, Nathan, Sundaralingam, Balakumar, Chebotar, Yevgen, Su, Zhe, Handa, Ankur, Fox, Dieter

“…To achieve a dexterous robotic manipulation, we need to endow our robot with tactile feedback capability, i.e. the ability to drive action based on tactile…”
Get full text

Learning Feedback Terms for Reactive Planning and Control by Rai, Akshara, Sutanto, Giovanni, Schaal, Stefan, Meier, Franziska

“…With the advancement of robotics, machine learning, and machine perception, increasingly more robots will enter human environments to assist with daily tasks…”
Get full text