10 citations · 15 across the 4 of their papers we have counts for
6 papers
Better Together: Online Probabilistic Clique Change Detection in 3D Landmark-Based Maps
Samuel Bateman, Kyle Harlow, Christoffer Heckman
Many modern simultaneous localization and mapping (SLAM) techniques rely on sparse landmark-based maps due to their real-time performance. However, these techniques frequently asse…
Kalman Filter Tuning with Bayesian Optimization
Zhaozhong Chen, Nisar Ahmed, Simon Julier +1
Many state estimation algorithms must be tuned given the state space process and observation models, the process and observation noise parameters must be chosen. Conventional tunin…
FastCal: Robust Online Self-Calibration for Robotic Systems
Fernando Nobre, Christoffer Heckman
We propose a solution for sensor extrinsic self-calibration with very low time complexity, competitive accuracy and graceful handling of often-avoided corner cases: drift in calibr…
Materials that make robots smart
Nikolaus Correll, Christoffer Heckman
We posit that embodied artificial intelligence is not only a computational, but also a materials problem. While the importance of material and structural properties in the control…
Hidden Markov Random Field Iterative Closest Point
John Stechschulte, Christoffer Heckman
When registering point clouds resolved from an underlying 2-D pixel structure, such as those resulting from structured light and flash LiDAR sensors, or stereo reconstruction, it i…
Pattern-Acquisition in Finite, Heterogenous, Delay-Coupled Swarms
Klimka Szwaykowska, Christoffer Heckman, Luis Mier-y-Teran-Romero +1
The self-organizing behavior of swarms of inter- acting particles or agents is a topic of intense research in fields extending from biology to physics and robotics. In this paper,…