2 citations · 4 across the 8 of their papers we have counts for
9 papers
SANDO: Safe Autonomous Trajectory Planning for Dynamic Unknown Environments
Kota Kondo, Jesús Tordesillas, Jonathan P. How +3
This paper presents SANDO, a safe trajectory planner for 3D dynamic unknown environments. Existing soft-constraint planners are fast but do not guarantee collision-free paths, whil…
Robust Dynamic Object Detection in Cluttered Indoor Scenes via Learned Spatiotemporal Cues
Juan Rached, Yixuan Jia, Kota Kondo +1
Reliable dynamic object detection in cluttered environments remains a critical challenge for autonomous navigation. Purely geometric LiDAR pipelines that rely on clustering and heu…
MIGHTY: Hermite Spline-based Efficient Trajectory Planning
Kota Kondo, Yuwei Wu, Vijay Kumar +1
Hard-constraint trajectory planners often rely on commercial solvers and demand substantial computational resources. Existing soft-constraint methods achieve faster computation, bu…
DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments
Kota Kondo, Mason Peterson, Nicholas Rober +5
This paper introduces DYNUS, an uncertainty-aware trajectory planner designed for dynamic unknown environments. Operating in such settings presents many challenges -- most notably,…
PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner
Kota Kondo, Claudius T. Tewari, Andrea Tagliabue +4
In decentralized multiagent trajectory planners, agents need to communicate and exchange their positions to generate collision-free trajectories. However, due to localization error…
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
Kota Kondo, Andrea Tagliabue, Xiaoyi Cai +4
Traditional optimization-based planners, while effective, suffer from high computational costs, resulting in slow trajectory generation. A successful strategy to reduce computation…
SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments
Annika Thomas, Jouko Kinnari, Parker Lusk +2
We present SOS-Match, a novel framework for detecting and matching objects in unstructured environments. Our system consists of 1) a front-end mapping pipeline using a zero-shot se…
REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots
Andrea Tagliabue, Kota Kondo, Tong Zhao +3
Large Language Models (LLMs) pre-trained on internet-scale datasets have shown impressive capabilities in code understanding, synthesis, and general purpose question-and-answering.…
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment
Kota Kondo, Claudius T. Tewari, Mason B. Peterson +4
Fully decentralized, multiagent trajectory planners enable complex tasks like search and rescue or package delivery by ensuring safe navigation in unknown environments. However, de…