11 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…
Sharing the Load: Autonomous Multi-Rover Cargo Transport
Alexander Krawciw, Luka Antonyshyn, Sven Lilge +5
A future lunar habitat, as part of the Artemis program, will require a significant amount of logistics infrastructure. Cargo that is transported to the Moon will need to be moved f…
Smoothing Out the Edges: Continuous-Time Estimation with Gaussian Process Motion Priors on Factor Graphs
Connor Holmes, Sven Lilge, Zi Cong Guo +2
Continuous-time state estimation is gaining in popularity due to its abilities to provide smooth solutions, handle asynchronous sensors, and interpolate between data points. While…
Degeneracy-Resilient Teach and Repeat for Geometrically Challenging Environments Using FMCW Lidar
Katya M. Papais, Wenda Zhao, Timothy D. Barfoot
Teach and Repeat (T&R) topometric navigation enables robots to autonomously repeat previously traversed paths without relying on GPS, making it well suited for operations in GPS-de…
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…