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- Deebul Nair
aka: Deebul S. Nair
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Publication search results
found 8 matches
- 2024
- Deebul Nair, Sathwik Panchangam, Miguel A. Olivares-Méndez, Nico Hochgeschwender:
Embodied Runtime Monitoring of Learning-enabled Robot Perception Components. CASE 2024: 2983-2989 - 2023
- Gokul Chenchani, Kevin Patel, Ravisankar Selvaraju, Shubham Shinde, Vamsi Kalagaturu, Vivek Mannava, Deebul Nair, Iman Awaad, Mohammad Wasil, Santosh Thoduka, Sven Schneider, Nico Hochgeschwender, Paul G. Plöger:
b-it-bots: Winners of RoboCup@Work 2023. RoboCup 2023: 350-361 - Kevin Patel, Vamsi Kalagaturu, Vivek Mannava, Ravisankar Selvaraju, Shubham Shinde, Dharmin Bakaraniya, Deebul Nair, Mohammad Wasil, Santosh Thoduka, Iman Awaad, Sven Schneider, Nico Hochgeschwender, Paul G. Plöger:
b-it-bots RoboCup@Work Team Description Paper 2023. CoRR abs/2312.17643 (2023) - 2022
- Deebul S. Nair, Nico Hochgeschwender, Miguel A. Olivares-Méndez:
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers. SafeAI@AAAI 2022 - Deebul S. Nair, Nico Hochgeschwender, Miguel A. Olivares-Méndez:
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers. CoRR abs/2202.03870 (2022) - 2020
- Deebul Nair, Amirhossein Pakdaman, Paul G. Plöger:
Performance Evaluation of Low-Cost Machine Vision Cameras for Image-Based Grasp Verification. CoRR abs/2003.10167 (2020) - Sasi Kiran Gaddipati, Deebul Nair, Paul G. Plöger:
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading. CoRR abs/2009.01303 (2020) - 2019
- Abhishek Padalkar, Mohammad Wasil, Shweta Mahajan, Ramesh Kumar, Dharmin Bakaraniya, Raghuvir Shirodkar, Heruka Andradi, Deepan Padmanabhan, Carlo Wiesse, Ahmed Faisal Abdelrahman, Sushant Chavan, Naresh Gurulingan, Deebul Nair, Santosh Thoduka, Iman Awaad, Sven Schneider, Paul G. Plöger, Gerhard K. Kraetzschmar:
b-it-bots: Our Approach for Autonomous Robotics in Industrial Environments. RoboCup 2019: 591-602
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