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ORCIDVignesh Prasad
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2020 – today
- 2025
[i16]Marvin Heidinger, Snehal Jauhri, Vignesh Prasad, Georgia Chalvatzaki:
2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos. CoRR abs/2503.09320 (2025)- 2024
- [b1]Vignesh Prasad:
Learning Human-Robot Interaction: A Case Study on Human-Robot Handshaking. Technical University of Darmstadt, Germany, 2024 - [j2]Vignesh Prasad
, Alap Kshirsagar, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions From Demonstrations. IEEE Robotics Autom. Lett. 9(7): 6043-6050 (2024) - [c13]Yasemin Göksu, Antonio De Almeida Correia, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Jan Peters, Georgia Chalvatzaki:
Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers. HRI (Companion) 2024: 497-501 - [c12]Fabian Hahne, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Maria Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
Transition State Clustering for Interaction Segmentation and Learning. HRI (Companion) 2024: 512-516 - [i15]Yasemin Göksu, Antonio De Almeida Correia, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Jan Peters, Georgia Chalvatzaki:
Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers. CoRR abs/2402.14525 (2024) - [i14]Fabian Hahne, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Maria Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
Transition State Clustering for Interaction Segmentation and Learning. CoRR abs/2402.14548 (2024) - [i13]Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations. CoRR abs/2407.07636 (2024) - [i12]Niklas Funk, Julen Urain, Joao Carvalho, Vignesh Prasad, Georgia Chalvatzaki, Jan Peters:
ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching. CoRR abs/2409.04576 (2024) - [i11]Yufeng Jin, Vignesh Prasad, Snehal Jauhri, Mathias Franzius, Georgia Chalvatzaki:
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting. CoRR abs/2412.01543 (2024) - 2023
- [c11]Martina Gassen, Frederic Metzler, Erik Prescher, Lisa Scherf, Vignesh Prasad, Felix Kaiser, Dorothea Koert:
I³: Interactive Iterative Improvement for Few-Shot Action Segmentation. RO-MAN 2023: 378-385 - [i10]Vignesh Prasad, Lea Heitlinger, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
Learning Multimodal Latent Dynamics for Human-Robot Interaction. CoRR abs/2311.16380 (2023) - 2022
- [j1]Vignesh Prasad, Ruth Stock-Homburg, Jan Peters:
Human-Robot Handshaking: A Review. Int. J. Soc. Robotics 14(1): 277-293 (2022) - [c10]Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. Humanoids 2022: 472-479 - [i9]Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. CoRR abs/2210.12418 (2022) - 2021
- [c9]Vignesh Prasad, Ruth Stock-Homburg, Jan Peters:
Learning Human-like Hand Reaching for Human-Robot Handshaking. ICRA 2021: 3612-3618 - [i8]Vignesh Prasad, Ruth Stock-Homburg, Jan Peters:
Human-Robot Handshaking: A Review. CoRR abs/2102.07193 (2021) - [i7]Vignesh Prasad, Ruth Stock-Homburg, Jan Peters:
Learning Human-like Hand Reaching for Human-Robot Handshaking. CoRR abs/2103.00616 (2021) - 2020
- [c8]Ruth Stock-Homburg, Jan Peters, Katharina Schneider, Vignesh Prasad, Lejla Nukovic:
Evaluation of the Handshake Turing Test for anthropomorphic Robots. HRI (Companion) 2020: 456-458 - [c7]Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick:
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering. IJCNN 2020: 1-10 - [c6]Vignesh Prasad, Ruth Stock-Homburg, Jan Peters:
Advances in Human-Robot Handshaking. ICSR 2020: 478-489 - [i6]Ruth Stock-Homburg, Jan Peters, Katharina Schneider, Vignesh Prasad, Lejla Nukovic:
Evaluation of the Handshake Turing Test for anthropomorphic Robots. CoRR abs/2001.10464 (2020) - [i5]Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick:
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering. CoRR abs/2005.04613 (2020) - [i4]Vignesh Prasad, Ruth Stock-Homburg, Jan Peters:
Advances in Human-Robot Handshaking. CoRR abs/2008.11695 (2020)
2010 – 2019
- 2019
- [c5]Vignesh Prasad, Brojeshwar Bhowmick:
SfMLearner++: Learning Monocular Depth & Ego-Motion Using Meaningful Geometric Constraints. WACV 2019: 2087-2096 - 2018
- [c4]Vignesh Prasad, Karmesh Yadav, Rohitashva Singh Saurabh, Swapnil Daga, Nahas Pareekutty, K. Madhava Krishna, Balaraman Ravindran, Brojeshwar Bhowmick:
Learning to Prevent Monocular SLAM Failure using Reinforcement Learning. ICVGIP 2018: 47:1-47:9 - [c3]Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick:
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences. ICVGIP 2018: 73:1-73:9 - [c2]Meha Kaushik, Vignesh Prasad, K. Madhava Krishna, Balaraman Ravindran:
Overtaking Maneuvers in Simulated Highway Driving using Deep Reinforcement Learning. Intelligent Vehicles Symposium 2018: 1885-1890 - [i3]Vignesh Prasad, Brojeshwar Bhowmick:
SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints. CoRR abs/1812.08370 (2018) - [i2]Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick:
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences. CoRR abs/1812.11922 (2018) - 2017
- [c1]Vignesh Prasad, Rishabh Jangir, Balaraman Ravindran, K. Madhava Krishna:
Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning. AAMAS 2017: 1697-1699 - 2016
- [i1]Vignesh Prasad, Saurabh Singh, Nahas Pareekutty, Balaraman Ravindran, K. Madhava Krishna:
SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning. CoRR abs/1607.07558 (2016)
Coauthor Index
aka: Ruth Maria Stock-Homburg
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last updated on 2025-04-14 21:13 CEST by the dblp team
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