STEDY: Software for TEnsegrity DYnamics. - Vaishnav Tadiparthi; Shao-Chen Hsu; Raktim Bhattacharya (J. Open Source Softw., 2019)

Nonlinear Attitude Estimation for Small UAVs with Low Power Microprocessors. - Sunsoo Kim; Vaishnav Tadiparthi; Raktim Bhattacharya (ACC, 2020)

Robust LQR for Uncertain Discrete-Time Systems using Polynomial Chaos. - Vaishnav Tadiparthi; Raktim Bhattacharya (ACC, 2020)

Extended H2 Filtering for Attitude Estimation in Low Power Microprocessors. - Sunsoo Kim; Vaishnav Tadiparthi; Raktim Bhattacharya (CoRR, 2020)

A Lagrangian Method for Constrained Dynamics in Tensegrity Systems with Compressible Bars. - Shao-Chen Hsu; Vaishnav Tadiparthi; Raktim Bhattacharya (CoRR, 2020)

Optimal Transport Based Refinement of Physics-Informed Neural Networks. - Vaishnav Tadiparthi; Raktim Bhattacharya (CoRR, 2021)

Minimally Disruptive Cooperative Lane-Change Maneuvers. - Behdad Chalaki; Vaishnav Tadiparthi; Hossein Nourkhiz Mahjoub; Jovin D'sa; Ehsan Moradi-Pari; Andres S. Chavez Armijos; Anni Li; Christos G. Cassandras (IEEE Control. Syst. Lett., 2023)

Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models. - Muhan Lin; Shuyang Shi; Yue Guo 003; Behdad Chalaki; Vaishnav Tadiparthi; Ehsan Moradi-Pari; Simon Stepputtis; Joseph Campbell; Katia P. Sycara (EMNLP (Findings), 2024)

Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model Predictive Control Approach. - Viet-Anh Le; Vaishnav Tadiparthi; Behdad Chalaki; Hossein Nourkhiz Mahjoub; Jovin D'sa; Ehsan Moradi-Pari; Andreas A. Malikopoulos (ICRA, 2024)

Social Navigation in Crowded Environments with Model Predictive Control and Deep Learning-Based Human Trajectory Prediction. - Viet-Anh Le; Behdad Chalaki; Vaishnav Tadiparthi; Hossein Nourkhiz Mahjoub; Jovin D'sa; Ehsan Moradi-Pari (IROS, 2024)

ATLS: Automated Trailer Loading for Surface Vessels. - Amer Abughaida; Meet Gandhi; Jun Heo; Vaishnav Tadiparthi; Yosuke Sakamoto; Joohyun Woo; Sangjae Bae (IV, 2024)

Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication. - Huao Li; Hossein Nourkhiz Mahjoub; Behdad Chalaki; Vaishnav Tadiparthi; Kwonjoon Lee; Ehsan Moradi-Pari; Charles Lewis; Katia P. Sycara (NeurIPS, 2024)

Cooperative energy and time-optimal lane change maneuvers with minimal highway traffic disruption. - Andres S. Chavez Armijos; Anni Li; Christos G. Cassandras; Yasir K. Al-Nadawi; Hidekazu Araki; Behdad Chalaki; Ehsan Moradi-Pari; Hossein Nourkhiz Mahjoub; Vaishnav Tadiparthi (Autom., 2024)

Language Grounded Multi-agent Communication for Ad-hoc Teamwork. - Huao Li; Hossein Nourkhiz Mahjoub; Behdad Chalaki; Vaishnav Tadiparthi; Kwonjoon Lee; Ehsan Moradi-Pari; Charles Michael Lewis; Katia P. Sycara (CoRR, 2024)

In Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation. - Vasanth Reddy Baddam; Behdad Chalaki; Vaishnav Tadiparthi; Hossein Nourkhiz Mahjoub; Ehsan Moradi-Pari; Hoda Eldardiry; Almuatazbellah Boker (HRI, 2025)

Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning. - Muhan Lin; Shuyang Shi; Yue Guo 003; Vaishnav Tadiparthi; Behdad Chalaki; Ehsan Moradi-Pari; Simon Stepputtis; Woojun Kim; Joseph Campbell; Katia P. Sycara (CoRR, 2025)

R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning. - Harsh Goel; Mohammad Omama; Behdad Chalaki; Vaishnav Tadiparthi; Ehsan Moradi-Pari; Sandeep Chinchali (CoRR, 2025)