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20202026
most citedRobots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

43 citations · 117 across the 15 of their papers we have counts for

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5 papers · 1 filter

eess.SY2026

Paying for Space: Incentive-Aware Motion Planning for Multi-Agent Collision Avoidance

Debajyoti Chakrabarti, Anushri Dixit

Advanced Air Mobility (AAM) systems require scalable coordination mechanisms to manage large fleets of aerial vehicles operating in shared, capacity-limited airspace. In such envir…

eess.SY2022★ 8 cited

Risk-Averse Receding Horizon Motion Planning for Obstacle Avoidance using Coherent Risk Measures

Anushri Dixit, Mohamadreza Ahmadi, Joel W. Burdick

This paper studies the problem of risk-averse receding horizon motion planning for agents with uncertain dynamics, in the presence of stochastic, dynamic obstacles. We propose a mo…

eess.SY2022

Distributionally Robust Model Predictive Control with Total Variation Distance

Anushri Dixit, Mohamadreza Ahmadi, Joel W. Burdick

This paper studies the problem of distributionally robust model predictive control (MPC) using total variation distance ambiguity sets. For a discrete-time linear system with addit…

eess.SY2021

Risk-Averse Stochastic Shortest Path Planning

Mohamadreza Ahmadi, Anushri Dixit, Joel W. Burdick +1

We consider the stochastic shortest path planning problem in MDPs, i.e., the problem of designing policies that ensure reaching a goal state from a given initial state with minimum…

eess.SY2020

Risk-Sensitive Motion Planning using Entropic Value-at-Risk

Anushri Dixit, Mohamadreza Ahmadi, Joel W. Burdick

We consider the problem of risk-sensitive motion planning in the presence of randomly moving obstacles. To this end, we adopt a model predictive control (MPC) scheme and pose the o…