activity
20192026
most citedProduction of secondary particles in heavy nuclei interactions in supernova remnants

13 citations · 39 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

PhysWAM: Physically Consistent World Action Model for Autonomous Driving

Dhruv Parikh, Fengcheng Yu, Quankai Gao +11

World-action models (WAMs) jointly predict how a scene will evolve and how an agent should act, however joint generation alone does not necessarily impose a shared geometric constr…

cs.RO2026

Residual Denoising Enables Sample-Efficient Multi-Agent Coordination on Demand

Dayi Dong, Maulik Bhatt, Aayushi Shrivastava +2

Pretrained robot policies offer strong manipulation skills but are typically limited to single-agent settings, where a robot acts in isolation. In this work, we study how to adapt…

cs.RO2025

MIMIC-D: Multi-modal Imitation for MultI-agent Coordination with Decentralized Diffusion Policies

Dayi Dong, Maulik Bhatt, Seoyeon Choi +1

As robots become more integrated in society, their ability to coordinate with other robots and humans on multi-modal tasks (those with multiple valid solutions) is crucial. Such be…

cs.RO2024

MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games

Maulik Bhatt, Iman Askari, Yue Yu +3

Modern robotic systems frequently engage in complex multi-agent interactions, many of which are inherently multi-modal, i.e., they can lead to multiple distinct outcomes. To intera…

cs.RO2024

Understanding and Imitating Human-Robot Motion with Restricted Visual Fields

Maulik Bhatt, HongHao Zhen, Monroe Kennedy +1

When working around other agents such as humans, it is important to model their perception capabilities to predict and make sense of their behavior. In this work, we consider agent…

cs.RO2023★ 10 cited

Strategic Decision-Making in Multi-Agent Domains: A Weighted Constrained Potential Dynamic Game Approach

Maulik Bhatt, Yixuan Jia, Negar Mehr

In interactive multi-agent settings, decision-making and planning are challenging mainly due to the agents' interconnected objectives. Dynamic game theory offers a formal framework…

cs.RO2022

Efficient Constrained Multi-Agent Trajectory Optimization using Dynamic Potential Games

Maulik Bhatt, Yixuan Jia, Negar Mehr

Although dynamic games provide a rich paradigm for modeling agents' interactions, solving these games for real-world applications is often challenging. Many real-world interactive…