Creating predictive haptic feedback for obstacle avoidance using a model predictive control (MPC) framework. - Avinash Balachandran; Matthew Brown 004; Stephen M. Erlien; J. Christian Gerdes (Intelligent Vehicles Symposium, 2015)

Predictive Haptic Feedback for Obstacle Avoidance Based on Model Predictive Control. - Avinash Balachandran; Matthew Brown 004; Stephen M. Erlien; J. Christian Gerdes (IEEE Trans Autom. Sci. Eng., 2016)

Autonomous Drifting with 3 Minutes of Data via Learned Tire Models. - Franck Djeumou; Jonathan Y. M. Goh; Ufuk Topcu; Avinash Balachandran (ICRA, 2023)

GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. - Justin Lidard; Oswin So; Yanxia Zhang; Jonathan A. DeCastro; Xiongyi Cui; Xin Huang 018; Yen-Ling Kuo; John J. Leonard; Avinash Balachandran; Naomi Ehrich Leonard; Guy Rosman (CoRR, 2023)

A Hierarchical Adaptive Nonlinear Model Predictive Control Approach for Maximizing Tire Force Usage in Autonomous Vehicles. - James Dallas; Michael Thompson; Jonathan Y. M. Goh; Avinash Balachandran (Field Robotics, 2023)

Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. - Emily S. Sumner; Jonathan A. DeCastro; Jean Costa; Deepak E. Gopinath; Everlyne Kimani; Shabnam Hakimi; Allison Morgan; Andrew Best; Hieu Nguyen; Daniel J. Brooks; Bassam ul Haq; Andrew Patrikalakis; et al. (CoRR, 2024)

Computational Teaching for Driving via Multi-Task Imitation Learning. - Deepak E. Gopinath; Xiongyi Cui; Jonathan A. DeCastro; Emily Sumner; Jean Costa; Hiroshi Yasuda; Allison Morgan; Laporsha Dees; Sheryl Chau; John Leonard; Tiffany Chen; Guy Rosman; et al. (CoRR, 2024)

Towards an Autonomous Test Driver: High-Performance Driver Modeling via Reinforcement Learning. - John Subosits; Jenna Lee; Shawn Manuel; Paul Tylkin; Avinash Balachandran (CoRR, 2024)

A Simulator Dataset to Support the Study of Impaired Driving. - John Gideon; Kimimasa Tamura; Emily Sumner; Laporsha Dees; Patricio Reyes Gomez; Bassam ul Haq; Todd Rowell; Avinash Balachandran; Simon Stent; Guy Rosman (CoRR, 2025)