Ph.D. Student at the Montanuniversität Leoben
Short bio: Mr. Vedant Dave started at CPS on 23rd September 2021.
He received his Master degree in Automation and Robotics from Technische Universität Dortmund in 2021 with the study focus on Robotics and Artificial Intelligence. His thesis was entitled “Model-agnostic Reinforcement Learning Solution for Autonomous Programming of Robotic Motion”, which took place at at Mercedes-Benz AG. In the thesis, he implemented Reinforcement learning for the motion planning of manipulators in complex environments. Before that, he did his Research internship at Bosch Center for Artificial Intelligence, where he worked on Probabilistic Movement Primitives on Riemannian Manifolds.
- Movement Primitives
- Probabilistic Learning
- Deep Reinforcement Learning
- Model Learning
Contact & Quick Links
M.Sc. Vedant Dave
Doctoral Student supervised by Univ.-Prof. Dr. Elmar Rueckert.
8700 Leoben, Austria
Phone: +43 3842 402 – 1903
Web Work: CPS-Page
Web Private: https://www.linkedin.com/in/vedant-dave-095629178/
Can we infer the full-arm manipulation skills from tactile targets? Workshop
International Conference on Humanoid Robots (Humanoids 2022), 2022.
Predicting full-arm grasping motions from anticipated tactile responses Inproceedings
In: International Conference on Humanoid Robots (Humanoids 2022), 2022.
Orientation Probabilistic Movement Primitives on Riemannian Manifolds Conference
Conference on Robot Learning (CoRL), vol. 164, 2022.