Vedant Dave
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Research output
- 2024
- Published
M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
Lygerakis, F., Dave, V. & Rückert, E., 1 Mar 2024, In: IEEE International Conference on Ubiquitous Robots.Research output: Contribution to journal › Conference article › peer-review
- Published
Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
Dave, V., Lygerakis, F. & Rückert, E., 28 Jan 2024, In: Proceedings / IEEE International Conference on Robotics and Automation.Research output: Contribution to journal › Conference article › peer-review
- 2023
- Published
Physics-informed neural network for predicting Gibbs free energy
Vincely, C., Sakic, A., Dave, V., Povoden-Karadeniz, E., Rückert, E. & Holec, D., 2023.Research output: Contribution to conference › Poster › Research
- 2022
- Published
Can we infer the full-arm manipulation skills from tactile targets?
Dave, V. & Rückert, E., 26 Sept 2022, IEEE-RAS International Conference on Humanoid Robots. (IEEE-RAS International Conference on Humanoid Robots).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Predicting full-arm grasping motions from anticipated tactile responses
Dave, V. & Rueckert, E., 26 Sept 2022, IEEE-RAS International Conference on Humanoid Robots. (IEEE-RAS International Conference on Humanoid Robots).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2021
- Published
Orientation Probabilistic Movement Primitives on Riemannian Manifolds
Rozo, L. & Dave, V., 8 Nov 2021, Conference on Robot Learning. 5 ed. Vol. 164. p. 373-383 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
