10 citations · 21 across the 14 of their papers we have counts for
7 papers · 1 filter
Extrinisic Calibration of a Camera-Arm System Through Rotation Identification
Steve McGuire, Christoffer Heckman, Daniel Szafir +2
Determining extrinsic calibration parameters is a necessity in any robotic system composed of actuators and cameras. Once a system is outside the lab environment, parameters must b…
Factorized Machine Self-Confidence for Decision-Making Agents
Brett W Israelsen, Nisar R Ahmed, Eric Frew +2
Algorithmic assurances from advanced autonomous systems assist human users in understanding, trusting, and using such systems appropriately. Designing these systems with the capaci…
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization
Zhaozhong Chen, Christoffer Heckman, Simon Julier +1
Kalman filters are routinely used for many data fusion applications including navigation, tracking, and simultaneous localization and mapping problems. However, significant time an…
Data-Free/Data-Sparse Softmax Parameter Estimation with Structured Class Geometries
Nisar Ahmed
This note considers softmax parameter estimation when little/no labeled training data is available, but a priori information about the relative geometry of class label log-odds bou…
Optimal Continuous State POMDP Planning with Semantic Observations: A Variational Approach
Luke Burks, Ian Loefgren, Nisar Ahmed
This work develops novel strategies for optimal planning with semantic observations using continuous state partially observable markov decision processes (CPOMDPs). Two major innov…
Closed-loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search
Luke Burks, Ian Loefgren, Luke Barbier +4
In search applications, autonomous unmanned vehicles must be able to efficiently reacquire and localize mobile targets that can remain out of view for long periods of time in large…