Snehal Jauhri

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Research Interests

Robotics, Reinforcement Learning, Imitation Learning, Computer Vision

More Information



Snehal Jauhri
TU Darmstadt, FG IAS,
Hochschulstr. 10, 64289 Darmstadt
Office. Room D202, Building S2|02

Snehal Jauhri joined the iROSA group at TU Darmstadt as a Ph.D. researcher in June 2021. He is working on robot learning approaches for mobile manipulation and grasping, supervised by Dr. Georgia Chalvatzaki.

Before starting his Ph.D., Snehal completed his M.Sc. from the Delft University of Technology, specializing in robotics, controls and embedded systems. For his master thesis, he worked with Dr. Jens Kober and Dr. Carlos Celemin on teaching robots through interactive imitation learning.

Key references

Liu, P.; Zhang, K.; Tateo, D.; Jauhri, S.; Hu, Z.; Peters, J. Chalvatzaki, G. (2023). Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction, 2023 IEEE International Conference on Robotics and Automation (ICRA), IEEE.   Download Article [PDF]   BibTeX Reference [BibTex]

Liu, P.; Zhang, K.;Tateo D.; Jauhri S.; Peters J.; Chalvatzaki G.; (2022). Regularized Deep Signed Distance Fields for Reactive Motion Generation, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   Download Article [PDF]   BibTeX Reference [BibTex]

Jauhri, S.; Peters, J.; Chalvatzaki G. (2022). Robot Learning of Mobile Manipulation with Reachability Behavior Priors, in IEEE Robotics and Automation Letters, and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 7, no. 3, pp.8399-8406.   Download Article [PDF]   BibTeX Reference [BibTex]

Jauhri, S.; Celemin, C.; Kober, J. (2020). Interactive Imitation Learning in State-Space, Proceedings of the 2020 Conference on Robot Learning, 155, pp.682-692, PMLR.   Download Article [PDF]   BibTeX Reference [BibTex]


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