Dvij Kalaria

According to our database, Dvij Kalaria authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction via Guided Diffusion.

Dvij Kalaria, Sudarshan S. Harithas, Pushkal Katara, Sangkyung Kwak, Sarthak Bhagat, Shankar Sastry, Srinath Sridhar, Sai Vemprala, Ashish Kapoor, Jonathan Chung-Kuan Huang

CoRR, September, 2025

LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos.

Daniel Etaat, Dvij Kalaria, Nima Rahmanian, Shankar Sastry

CoRR, March, 2025

α-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function.

Dvij Kalaria, Chinmay Maheshwari, Shankar Sastry

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility.

Wenli Xiao, Haoru Xue, Tony Tao, Dvij Kalaria, John M. Dolan, Guanya Shi

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Agile Mobility with Rapid Online Adaptation via Meta-Learning and Uncertainty-Aware MPPI.

Dvij Kalaria, Haoru Xue, Wenli Xiao, Tony Tao, Guanya Shi, John M. Dolan

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos.

Daniel Etaat, Dvij Kalaria, Nima Rahmanian, S. Shankar Sastry

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Delay-Aware Robust Control for Safe Autonomous Driving and Racing.

Dvij Kalaria, Qin Lin, John M. Dolan

IEEE Trans. Intell. Transp. Syst., July, 2024

Real-Time Algorithms for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function.

Dvij Kalaria, Chinmay Maheshwari, S. Shankar Sastry

CoRR, 2024

Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning.

Dvij Kalaria, Qin Lin, John M. Dolan

CoRR, 2024

WROOM: An Autonomous Driving Approach for Off-Road Navigation.

Dvij Kalaria, Shreya Sharma, Sarthak Bhagat, Haoru Xue, John M. Dolan

CoRR, 2024

Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine.

Dvij Kalaria, Qin Lin, John M. Dolan

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning.

Dvij Kalaria, Qin Lin, John M. Dolan

CoRR, 2023

Towards Safety Assured End-to-End Vision-Based Control for Autonomous Racing.

Dvij Kalaria, Qin Lin, John M. Dolan

CoRR, 2023

2022

Towards Adversarial Purification using Denoising AutoEncoders.

Dvij Kalaria, Aritra Hazra, Partha Pratim Chakrabarti

CoRR, 2022

Btech thesis report on adversarial attack detection and purification of adverserially attacked images.

Dvij Kalaria

CoRR, 2022

Delay-aware Robust Control for Safe Autonomous Driving.

Dvij Kalaria, Qin Lin, John M. Dolan

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Online Adaptive Compensation for Model Uncertainty Using Extreme Learning Machine-based Control Barrier Functions.

Emanuel Munoz, Dvij Kalaria, Qin Lin, John M. Dolan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images.

Dvij Kalaria, Aritra Hazra, Partha Pratim Chakrabarti

CoRR, 2021

Local NMPC on Global Optimised Path for Autonomous Racing.

Dvij Kalaria, Parv Maheshwari, Animesh Jha, Arnesh Kumar Issar, Debashish Chakravarty, Sohel Anwar, Andres Towar

CoRR, 2021