Vedant Dave, M.Sc.

image_pdfimage_print

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

  • Information Theoretic Reinforcement Learning
  • Robust Multimodal Representation Learning
  • Unsupervised Skill Discovery
  • Movement Primitives

Research Videos

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
Chat: WEBEX

Publications

2025

Vanjani, Pankhuri; Mattes, Paul; Li, Maximilian Xiling; Dave, Vedant; Lioutikov, Rudolf

DisDP: Robust Imitation Learning via Disentangled Diffusion Policies Proceedings Article Forthcoming

In: Reinforcement Learning Conference (RLC), Reinforcement Learning Journal, Forthcoming.

BibTeX

DisDP: Robust Imitation Learning via Disentangled Diffusion Policies

Dave, Vedant; Rueckert, Elmar

Skill Disentanglement in Reproducing Kernel Hilbert Space Proceedings Article

In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 16153-16162, 2025.

Abstract | Links | BibTeX

Skill Disentanglement in Reproducing Kernel Hilbert Space

Nwankwo, Linus; Ellensohn, Bjoern; Dave, Vedant; Hofer, Peter; Forstner, Jan; Villneuve, Marlene; Galler, Robert; Rueckert, Elmar

EnvoDat: A Large-Scale Multisensory Dataset for Robotic Spatial Awareness and Semantic Reasoning in Heterogeneous Environments Proceedings Article

In: IEEE International Conference on Robotics and Automation (ICRA 2025)., 2025.

Links | BibTeX

EnvoDat: A Large-Scale Multisensory Dataset for Robotic Spatial Awareness and Semantic Reasoning in Heterogeneous Environments

2024

Dave, Vedant; Rueckert, Elmar

Denoised Predictive Imagination: An Information-theoretic approach for learning World Models Workshop

European Workshop on Reinforcement Learning (EWRL), 2024.

Abstract | Links | BibTeX

Denoised Predictive Imagination: An Information-theoretic approach for learning World Models

Lygerakis, Fotios; Dave, Vedant; Rueckert, Elmar

M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation Proceedings Article

In: IEEE International Conference on Ubiquitous Robots (UR 2024), IEEE 2024.

Links | BibTeX

M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation

Dave*, Vedant; Lygerakis*, Fotios; Rueckert, Elmar

Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training Proceedings Article

In: IEEE International Conference on Robotics and Automation (ICRA), pp. 8013-8020, IEEE, 2024, ISBN: 979-8-3503-8457-4, (* equal contribution).

Abstract | Links | BibTeX

Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

2022

Dave, Vedant; Rueckert, Elmar

Can we infer the full-arm manipulation skills from tactile targets? Workshop

Advances in Close Proximity Human-Robot Collaboration Workshop, International Conference on Humanoid Robots (Humanoids), 2022.

Abstract | Links | BibTeX

Can we infer the full-arm manipulation skills from tactile targets?

Dave, Vedant; Rueckert, Elmar

Predicting full-arm grasping motions from anticipated tactile responses Proceedings Article

In: International Conference on Humanoid Robots (Humanoids), pp. 464-471, IEEE, 2022, ISBN: 979-8-3503-0979-9.

Abstract | Links | BibTeX

Predicting full-arm grasping motions from anticipated tactile responses

Leonel, Rozo*; Vedant, Dave*

Orientation Probabilistic Movement Primitives on Riemannian Manifolds Proceedings Article

In: Conference on Robot Learning (CoRL), pp. 11, 2022, (* equal contribution).

Abstract | Links | BibTeX

Orientation Probabilistic Movement Primitives on Riemannian Manifolds