1 citations · 1 across the 6 of their papers we have counts for
6 papers
Sliding Sensors: Configurable Confidence in State Estimation for Continuum Robots
Ella Walsh, Spencer Teetaert, Eric Diller +2
Continuum robots often operate in uncertain environments, where accurate state estimation is essential for safe interactions. Estimate uncertainty is inherently spatially non-unifo…
Continuum Robot Localization using Distributed Time-of-Flight Sensors
Spencer Teetaert, Giammarco Caroleo, Marco Pontin +4
Localization and mapping of an environment are crucial tasks for any robot operating in unstructured environments. Time-of-flight (ToF) sensors (e.g.,~lidar) have proven useful in…
A Sliding-Window Filter for Online Continuous-Time Continuum Robot State Estimation
Spencer Teetaert, Sven Lilge, Jessica Burgner-Kahrs +1
Stochastic state estimation methods for continuum robots (CRs) often struggle to balance accuracy and computational efficiency. While several recent works have explored sliding-win…
A Stochastic Framework for Continuous-Time State Estimation of Continuum Robots
Spencer Teetaert, Sven Lilge, Jessica Burgner-Kahrs +1
State estimation techniques for continuum robots (CRs) typically involve using computationally complex dynamic models, simplistic shape approximations, or are limited to quasi-stat…
Space-Time Continuum: Continuous Shape and Time State Estimation for Flexible Robots
Spencer Teetaert, Sven Lilge, Jessica Burgner-Kahrs +1
This extended abstract introduces a novel method for continuous state estimation of continuum robots. We formulate the estimation problem as a factor-graph optimization problem usi…
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges
Spencer Teetaert, Wenda Zhao, Niu Xinyuan +21
Shared benchmark problems have historically been a fundamental driver of progress for scientific communities. In the context of academic conferences, competitions offer the opportu…