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20222025
most citedDisentangled Neural Relational Inference for Interpretable Motion Prediction

5 citations · 5 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.RO2025

Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees

Piyush Gupta, David Isele, Enna Sachdeva +4

We present a novel mission-planning strategy for heterogeneous multi-robot teams, taking into account the specific constraints and capabilities of each robot. Our approach employs…

cs.RO2024

Optimal Driver Warning Generation in Dynamic Driving Environment

Chenran Li, Aolin Xu, Enna Sachdeva +2

The driver warning system that alerts the human driver about potential risks during driving is a key feature of an advanced driver assistance system. Existing driver warning techno…

cs.RO2024★ 5 cited

Disentangled Neural Relational Inference for Interpretable Motion Prediction

Victoria M. Dax, Jiachen Li, Enna Sachdeva +2

Effective interaction modeling and behavior prediction of dynamic agents play a significant role in interactive motion planning for autonomous robots. Although existing methods hav…

cs.RO2022

DIDER: Discovering Interpretable Dynamically Evolving Relations

Enna Sachdeva, Chiho Choi

Effective understanding of dynamically evolving multiagent interactions is crucial to capturing the underlying behavior of agents in social systems. It is usually challenging to ob…

cs.RO2022

Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction

Lingfeng Sun, Chen Tang, Yaru Niu +5

Motion forecasting in highly interactive scenarios is a challenging problem in autonomous driving. In such scenarios, we need to accurately predict the joint behavior of interactin…