activity
20212023
most citedRobot Learning from Demonstration Using Elastic Maps

9 citations · 38 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2023★ 3 cited

Confidence-Based Skill Reproduction Through Perturbation Analysis

Brendan Hertel, S. Reza Ahmadzadeh

Several methods exist for teaching robots, with one of the most prominent being Learning from Demonstration (LfD). Many LfD representations can be formulated as constrained optimiz…

cs.RO2023★ 1 cited

DECISIVE Benchmarking Data Report: sUAS Performance Results from Phase I

Adam Norton, Reza Ahmadzadeh, Kshitij Jerath +18

This report reviews all results derived from performance benchmarking conducted during Phase I of the Development and Execution of Comprehensive and Integrated Subterranean Intelli…

cs.RO2022★ 7 cited

DECISIVE Test Methods Handbook: Test Methods for Evaluating sUAS in Subterranean and Constrained Indoor Environments, Version 1.1

Adam Norton, Reza Ahmadzadeh, Kshitij Jerath +18

This handbook outlines all test methods developed under the Development and Execution of Comprehensive and Integrated Subterranean Intelligent Vehicle Evaluations (DECISIVE) projec…

cs.RO2022★ 9 cited

Robot Learning from Demonstration Using Elastic Maps

Brendan Hertel, Matthew Pelland, S. Reza Ahmadzadeh

Learning from Demonstration (LfD) is a popular method of reproducing and generalizing robot skills from human-provided demonstrations. In this paper, we propose a novel optimizatio…

cs.RO2021★ 5 cited

Methods for Combining and Representing Non-Contextual Autonomy Scores for Unmanned Aerial Systems

Brendan Hertel, Ryan Donald, Christian Dumas +1

Measuring an overall autonomy score for a robotic system requires the combination of a set of relevant aspects and features of the system that might be measured in different units,…

cs.RO2021★ 4 cited

Similarity-Aware Skill Reproduction based on Multi-Representational Learning from Demonstration

Brendan Hertel, S. Reza Ahmadzadeh

Learning from Demonstration (LfD) algorithms enable humans to teach new skills to robots through demonstrations. The learned skills can be robustly reproduced from the identical or…