1

Vedant Dave, M.Sc.

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.

Research Interests

  • Movement Primitives
  • Probabilistic Learning
  • Deep Reinforcement Learning
  • Model Learning

Research Videos

https://cps.unileoben.ac.at/wp/TacProMPs_Humanoids2022_Video.mp4#t=1

Contact & Quick Links

M.Sc. Vedant Dave
Doctoral Student supervised by Univ.-Prof. Dr. Elmar Rueckert.
Montanuniversität Leoben
Franz-Josef-Straße 18, 
8700 Leoben, Austria 

Phone:  +43 3842 402 – 1903
Email:   vedant.dave@unileoben.ac.at 
Web Work: CPS-Page
Web Private: https://www.linkedin.com/in/vedant-dave-095629178/
Chat: WEBEX

CV of M.Sc. Vedant Dave
DBLP
Frontiers Network
GitHub
Google Citations
LinkedIn
ORCID
Research Gate

Publications

2022

Rozo*, Leonel; Dave*, Vedant

Orientation Probabilistic Movement Primitives on Riemannian Manifolds Conference

Conference on Robot Learning, vol. 164, 2022.

Abstract | Links | BibTeX

Orientation Probabilistic Movement Primitives on Riemannian Manifolds