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20202026
most citedFinding the Right Place: Sensor Placement for UWB Time Difference of Arrival Localization in Cluttered Indoor Environments

61 citations · 81 across the 14 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.RO2026

UWB Meets Crazyflow: Simulating Degraded Feedback at Scale for Aerial Robotics

Martin Schuck, Marcel P. Rath, Yufei Hua +3

In this work, we introduce Crazyflow, an accurate, differentiable simulator built on JAX. By leveraging jit compilation via XLA, Crazyflow unifies physics and control into a single…

cs.RO2026

BLT*: Informed Belief Localization Trees for Uncertainty-Aware Planning on Digital Twins

Elliot Preston-Krebs, Abhishek Goudar, Timothy D. Barfoot

We present Informed Belief Localization Trees* (Informed BLT*), a sampling-based belief space planning (BSP) algorithm that scales to large outdoor digital twins with point-cloud o…

cs.RO2026

Following a Unique Path: A Fast Certifier Applied to Outlier-Robust Pose Registration

Connor Holmes, Abhishek Goudar, Timothy D. Barfoot

Certifiable methods have arisen as a means to guarantee global optimality of solutions to non-convex problems using convex semidefinite programming (SDP) relaxations. The most perf…

cs.RO2026

Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX

Martin Schuck, Marcel P. Rath, Yufei Hua +3

High-quality, large-scale synthetic data from simulations is becoming a cornerstone for pushing robots' capabilities. While aerial robotics simulators have evolved to support speci…

cs.RO2026

Sensor Query Schedule and Sensor Noise Covariances for Accuracy-constrained Trajectory Estimation

Abhishek Goudar, Angela P. Schoellig

Trajectory estimation involves determining the trajectory of a mobile robot by combining prior knowledge about its dynamic model with noisy observations of its state obtained using…

cs.RO2026

Decentralized and Fully Onboard: Range-Aided Cooperative Localization and Navigation on Micro Aerial Vehicles

Abhishek Goudar, Angela P. Schoellig

Controlling a team of robots in a coordinated manner is challenging because centralized approaches (where all computation is performed on a central machine) scale poorly, and globa…