Avinash Balachandran

15 papers A* 2B 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
A Simulator Dataset to Support the Study of Impaired Driving.
ITSC
John Gideon, Kimimasa Tamura, Emily Sumner, Laporsha Dees, Patricio Reyes Gomez, Bassam ul Haq, Todd Rowell, Avinash Balachandran, Simon Stent, Guy Rosman
2025 J jnl
A Simulator Dataset to Support the Study of Impaired Driving.
CoRR
John Gideon, Kimimasa Tamura, Emily Sumner, Laporsha Dees, Patricio Reyes Gomez, Bassam ul Haq, Todd Rowell, Avinash Balachandran, Simon Stent, Guy Rosman
2025 A* conf
Computational Teaching for Driving via Multi-Task Imitation Learning.
ICRA
Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda, Allison Morgan, Laporsha Dees, Sheryl Chau, John J. Leonard, Tiffany L. Chen, Guy Rosman, Avinash Balachandran
2025 J jnl
Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making.
CoRR
Toshiaki Hori, Jonathan A. DeCastro, Deepak E. Gopinath, Avinash Balachandran, Guy Rosman
2025 J jnl
SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching.
CoRR
Emily Sumner, Deepak E. Gopinath, Laporsha Dees, Patricio Reyes Gomez, Xiongyi Cui, Andrew Silva, Jean Costa, Allison Morgan, Mariah Schrum, Tiffany L. Chen, Avinash Balachandran, Guy Rosman
2024 J jnl
Computational Teaching for Driving via Multi-Task Imitation Learning.
CoRR
Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda, Allison Morgan, Laporsha Dees, Sheryl Chau, John J. Leonard, Tiffany L. Chen, Guy Rosman, Avinash Balachandran
2024 J jnl
Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference.
CoRR
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, Hiroshi Yasuda, Katharine Sieck, Avinash Balachandran, Tiffany L. Chen, Guy Rosman
2024 J jnl
Towards an Autonomous Test Driver: High-Performance Driver Modeling via Reinforcement Learning.
CoRR
John K. Subosits, Jenna Lee, Shawn Manuel, Paul Tylkin, Avinash Balachandran
2023 J jnl
A Hierarchical Adaptive Nonlinear Model Predictive Control Approach for Maximizing Tire Force Usage in Autonomous Vehicles.
Field Robotics
James Dallas, Michael Thompson, Jonathan Y. M. Goh, Avinash Balachandran
2023 J jnl
A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles.
CoRR
James Dallas, Michael Thompson, Jonathan Y. M. Goh, Avinash Balachandran
2023 A* conf
Autonomous Drifting with 3 Minutes of Data via Learned Tire Models.
ICRA
Franck Djeumou, Jonathan Y. M. Goh, Ufuk Topcu, Avinash Balachandran
2023 J jnl
Autonomous Drifting with 3 Minutes of Data via Learned Tire Models.
CoRR
Franck Djeumou, Jonathan Y. M. Goh, Ufuk Topcu, Avinash Balachandran
2023 J jnl
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction.
CoRR
Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman
2016 J jnl
Predictive Haptic Feedback for Obstacle Avoidance Based on Model Predictive Control.
IEEE Trans Autom. Sci. Eng.
Avinash Balachandran, Matthew Brown, Stephen M. Erlien, J. Christian Gerdes
2015 B conf
Creating predictive haptic feedback for obstacle avoidance using a model predictive control (MPC) framework.
Intelligent Vehicles Symposium
Avinash Balachandran, Matthew Brown, Stephen M. Erlien, J. Christian Gerdes