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Claudius T. Tewari

2 accepted papers

2025

PRIMER: Perception-Aware Robust Learning-Based Multiagent Trajectory Planner

ICRA 2025

In decentralized multiagent trajectory planners, agents need to communicate and exchange their positions to generate collision-free trajectories. However, due to localization errors/uncertainties, trajectory deconfliction can fail even if trajectories are perfectly shared between agents. To address

Cited by 1SourceScholar
2024

PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment

ICRA 2024poster

Fully decentralized, multiagent trajectory planners enable complex tasks like search and rescue or package delivery by ensuring safe navigation in unknown environments. However, deconflicting trajectories with other agents and ensuring collision-free paths in a fully decentralized setting is complic…

Cited by 6SourcecodeScholar