86 citations · 158 across the 11 of their papers we have counts for
11 papers
Learning Agent-based Model Predictive Control for Holistic Vehicle Performance
Jiaming Zhong, Reza Valiollahi Mehrizi, Mohammad Pirani +4
Agent-based model predictive control (AMPC) has recently been proposed as a distributed scheme that collaborates with all agents to achieve optimal holistic performance. However, i…
Path Diffuser: Diffusion Model for Data-Driven Traffic Simulator
Da Saem Lee, Akash Karthikeyan, Yash Vardhan Pant +1
Simulating diverse and realistic traffic scenarios is critical for developing and testing autonomous planning. Traditional rule-based planners lack diversity and realism, while lea…
Fair-CoPlan: Negotiated Flight Planning with Fair Deconfliction for Urban Air Mobility
Nicole Fronda, Phil Smith, Bardh Hoxha +2
Urban Air Mobility (UAM) is an emerging transportation paradigm in which Uncrewed Aerial Systems (UAS) autonomously transport passengers and goods in cities. The UAS have different…
GenPlan: Generative Sequence Models as Adaptive Planners
Akash Karthikeyan, Yash Vardhan Pant
Sequence models have demonstrated remarkable success in behavioral planning by leveraging previously collected demonstrations. However, solving multi-task missions remains a signif…
Adaptformer: Sequence models as adaptive iterative planners
Akash Karthikeyan, Yash Vardhan Pant
Despite recent advances in learning-based behavioral planning for autonomous systems, decision-making in multi-task missions remains a challenging problem. For instance, a mission…
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles
Jie Wang, Yash Vardhan Pant, Lei Zhao +2
With the increasing presence of autonomous vehicles (AVs) on public roads, developing robust control strategies to navigate the uncertainty of human-driven vehicles (HVs) is crucia…