Publications

Wenli Xiao, Haoru Xue, Tony Tao, Dvij Kalaria, Guanya Shi, John Dolan, -Under review, ICRA 2025 (2024). AnyCar to Anywhere Learning Universal Dynamics Model for Agile and Adaptive Mobility.

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Dvij Kalaria, Haoru Xue, Wenli Xiao, Tony Tao, Guanya Shi, John Dolan, -Under review, ICRA 2025 (2024). Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI.

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Dvij Kalaria, Qin Lin, John M. Dolan, -*Transactions on Intelligent Transportation Systems (T-ITS)* (2023). Delay-aware Robust Control for Safe Autonomous Driving and Racing. in RISS Journal 2021, Submitted at IEEE Conference on Robotics and Automation 2022.

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Dvij Kalaria, Qin Lin, John Dolan, -Presented at MADGames workshop, IROS 2023 and under review, RLC 2024 (2023). Towards Optimal Head-to-Head Autonomous Racing with Curriculum Reinforcement Learning. Presented at MADGames workshop, IROS 2023 and under review, RLC 2024.

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Dvij Kalaria, Qin Lin, John M Dolan, -Under review, ICRA 2025 (2023). Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning.

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Dvij Kalaria, Qin Lin, John M Dolan, -Accepted, ICRA 2024 (2023). Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine. Presented as late breaking paper, IROS 2023, Under review for ICRA 2024.

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Dvij Kalaria, Qin Lin, John M. Dolan, -Accepted at *IEEE Intelligent Vehicles Symposium 2022 (oral)* (2021). Delay-aware Robust Control for Safe Autonomous Driving. in RISS Journal 2021, Submitted at IEEE Conference on Robotics and Automation 2022.

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Dvij Kalaria, Qin Lin, John M. Dolan, -IFAC World Congress 2023 (2021). Towards Safety Assured End-to-End Vision-Based Control for Autonomous Racing. IFAC World Congress 2023.

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Dvij Kalaria, Aritra Hazra, Partha Pratim Chakrabarti, -Accepted at 'MLSW workshop, NeurIPS 2022' (2021). Towards Adversarial Purification using Denoising AutoEncoders. Accepted at MLSW workshop, NeurIPS 2022.

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Dvij Kalaria, Qin Lin, John Dolan, -IROS 2022 (2021). Online Adaptive Compensation for Model Uncertainty Using Extreme Learning Machine-based Control Barrier Functions. IROS 2022.

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Dvij Kalaria, Aritra Hazra, Partha Pratim Chakrabarti, -Accepted at 'Workshop on Adversarial Machine Learning and Beyond, AAAI 2022' (2021). Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images. Accepted at ‘Workshop on Adversarial Machine Learning and Beyond’, AAAI 2021.

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Dvij Kalaria, Parv Maheshwari, Animesh Jha, Arnesh Kumar Issar, Debashish Chakravarty, Sohel Anwar, Andres Tovar, -Accepted at 'Opportunities and Challenges in Autonomous Racing' worskshop, ICRA 2021 (2021). Local NMPC on Global Optimised Path for Autonomous Racing. Accepted at ‘Opportunities and Challenges in Autonomous Racing worskshop, ICRA 2021’.

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Yash Khandelwal, Dvij Kalaria, Nikhil Popli, Abhishek Shukla, \* (2020). [RE] It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction. Under review at ‘Workshop on Adversarial Machine Learning and Beyond’, AAAI 2021.

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