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Antareep Singha

2 accepted papers

2026

Crowd-FM: Learned Optimal Selection of Conditional Flow Matching-Generated Trajectories for Crowd Navigation

ICRA 2026poster

Safe and computationally efficient local planning for mobile robots in dense, unstructured human crowds remains a fundamental challenge. Moreover, ensuring that robot trajectories are similar to how a human moves will increase the acceptance of the robot in human environments. In this paper, we pres…

2025

CrowdSurfer: Sampling Optimization Augmented with Vector-Quantized Variational AutoEncoder for Dense Crowd Navigation

ICRA 2025

Navigation amongst densely packed crowds remains a challenge for mobile robots. The complexity increases further if the environment layout changes, making the prior computed global plan infeasible. In this paper, we show that it is possible to dramatically enhance crowd navigation by just improving

Cited by 1SourcecodeScholar