4 papers
Reducing Text Bias in Synthetically Generated MCQAs for VLMs in Autonomous Driving
Sutej Kulgod, Sean Ye, Sanchit Tanwar +1
Multiple Choice Question Answering (MCQA) benchmarks are an established standard for measuring Vision Language Model (VLM) performance in driving tasks. However, we observe the kno…
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
Zixuan Wu, Sean Ye, Manisha Natarajan +1
Reinforcement Learning (RL)-based motion planning has recently shown the potential to outperform traditional approaches from autonomous navigation to robot manipulation. In this wo…
Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance
Kin Man Lee, Sean Ye, Qingyu Xiao +5
Advances in robot learning have enabled robots to generate skills for a variety of tasks. Yet, robot learning is typically sample inefficient, struggles to learn from data sources…
Efficient Trajectory Forecasting and Generation with Conditional Flow Matching
Sean Ye, Matthew Gombolay
Trajectory prediction and generation are crucial for autonomous robots in dynamic environments. While prior research has typically focused on either prediction or generation, our a…