For a complete and up-to-date list of publications, please visit my google scholar.
2024
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Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models
João Carvalho, An T. Le, Piotr Kicki, and 2 more authors
CoRR, 2024
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Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3
João Carvalho, An T. Le, Philipp Jahr, and 4 more authors
CoRR, 2024
2023
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Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
João Carvalho, An T. Le, Mark Baierl, and 2 more authors
In IEEE/RSJ International Conference on Intelligent Robots and Systems IROS, 2023
2022
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Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning
João Carvalho, Dorothea Koert, Marek Daniv, and 1 more author
In 21st IEEE-RAS International Conference on Humanoid Robots, Humanoids 2022, Ginowan, Japan, November 28-30, 2022, 2022
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Conditioned Score-Based Models for Learning Collision-Free Trajectory Generation
Joao Carvalho, Mark Baierl, Julen Urain, and 1 more author
In NeurIPS 2022 Workshop on Score-Based Methods, 2022
2021
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An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
João Carvalho, Davide Tateo, Fabio Muratore, and 1 more author
In International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021
Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement LearningIn 21st IEEE-RAS International Conference on Humanoid Robots, Humanoids 2022, Ginowan, Japan, November 28-30, 2022, 2022
Conditioned Score-Based Models for Learning Collision-Free Trajectory GenerationIn NeurIPS 2022 Workshop on Score-Based Methods, 2022
