4 citations · 6 across the 6 of their papers we have counts for
7 papers
Belief-Aware Multi-Agent Path Finding under Map Uncertainty
Viraj Parimi, Shao-Hung Chan, Han Zhang +2
Multi-Agent Path Finding (MAPF) aims to find collision-free paths for multiple agents in a shared environment. Classical MAPF assumes that all static obstacles are known in advance…
MoMo: Conditioned Contrastive Representation Learning for Preference-Modulated Planning
Yusuf Syed, Viraj Parimi, Brian Williams
Temporally contrastive representation learning induces a latent structure capable of reducing long-horizon planning to inference in a low-dimensional linear system. However, existi…
Large Neighborhood Search for Multi-Agent Task Assignment and Path Finding with Precedence Constraints
Viraj Parimi, Brian C. Williams
Many multi-robot applications require tasks to be completed efficiently and in the correct order, so that downstream operations can proceed at the right time. Multi-agent path find…
Diffusion-Guided Multi-Arm Motion Planning
Viraj Parimi, Brian C. Williams
Multi-arm motion planning is fundamental for enabling arms to complete complex long-horizon tasks in shared spaces efficiently but current methods struggle with scalability due to…
Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocation
Viraj Parimi, Brian C. Williams
Safe navigation is essential for autonomous systems operating in hazardous environments, especially when multiple agents must coordinate using only high-dimensional visual observat…
Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning
Meng Feng, Viraj Parimi, Brian Williams
Safe navigation is essential for autonomous systems operating in hazardous environments. Traditional planning methods excel at long-horizon tasks but rely on a predefined graph wit…
Multi-Agent Vulcan: An Information-Driven Multi-Agent Path Finding Approach
Jake Olkin, Viraj Parimi, Brian Williams
Scientists often search for phenomena of interest while exploring new environments. Autonomous vehicles are deployed to explore such areas where human-operated vehicles would be co…