b-it-bots: Our Approach for Autonomous Robotics in Industrial Environments. - 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; et al. (RoboCup, 2019)

Performance Evaluation of Low-Cost Machine Vision Cameras for Image-Based Grasp Verification. - Deebul Nair; Amirhossein Pakdaman; Paul G. Plöger (CoRR, 2020)

Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading. - Sasi Kiran Gaddipati; Deebul Nair; Paul G. Plöger (CoRR, 2020)

Maximum Likelihood Uncertainty Estimation: Robustness to Outliers. - Deebul S. Nair; Nico Hochgeschwender; Miguel A. Olivares-Méndez (SafeAI@AAAI, 2022)

b-it-bots: Winners of RoboCup@Work 2023. - Gokul Chenchani; Kevin Patel; Ravisankar Selvaraju; Shubham Shinde; Vamsi Kalagaturu; Vivek Mannava; Deebul Nair; Iman Awaad; Mohammad Wasil; Santosh Thoduka; Sven Schneider 002; Nico Hochgeschwender; et al. (RoboCup, 2023)

b-it-bots RoboCup@Work Team Description Paper 2023. - Kevin Patel; Vamsi Kalagaturu; Vivek Mannava; Ravisankar Selvaraju; Shubham Shinde; Dharmin Bakaraniya; Deebul Nair; Mohammad Wasil; Santosh Thoduka; Iman Awaad; Sven Schneider 002; Nico Hochgeschwender; et al. (CoRR, 2023)

Embodied Runtime Monitoring of Learning-enabled Robot Perception Components. - Deebul Nair; Sathwik Panchangam; Miguel A. Olivares-Méndez; Nico Hochgeschwender (CASE, 2024)