Resonant wireless power transfer to ground sensors from a UAV. - Brent Griffin; Carrick Detweiler (ICRA, 2012)

Omni-directional hovercraft design as a foundation for MAV education. - Carrick Detweiler; Brent Griffin; Heath Roehr (IROS, 2012)

Preliminary walking experiments with underactuated 3D bipedal robot MARLO. - Brian G. Buss; Alireza Ramezani; Kaveh Akbari Hamed; Brent A. Griffin; Kevin S. Galloway; Jessy W. Grizzle (IROS, 2014)

Experimental Analysis of a UAV-Based Wireless Power Transfer Localization System. - Andrew Mittleider; Brent Griffin; Carrick Detweiler (ISER, 2014)

Walking gait optimization for accommodation of unknown terrain height variations. - Brent A. Griffin; Jessy W. Grizzle (ACC, 2015)

Nonholonomic virtual constraints for dynamic walking. - Brent A. Griffin; Jessy W. Grizzle (CDC, 2015)

Unmanned Aerial Vehicle-Based Wireless Charging of Sensor Networks. - Carrick Detweiler; Michael Eiskamp; Brent Griffin; Jennifer Johnson; Jinfu Leng (Wireless Power Transfer Algorithms, Technologies and Applications in Ad Hoc Communication Networks, 2016)

Experimental results for 3D bipedal robot walking based on systematic optimization of virtual constraints. - Brian G. Buss; Kaveh Akbari Hamed; Brent A. Griffin; Jessy W. Grizzle (ACC, 2016)

From 2D Design of Underactuated Bipedal Gaits to 3D Implementation: Walking With Speed Tracking. - Xingye Da; Omar Harib; Ross Hartley; Brent A. Griffin; Jessy W. Grizzle (IEEE Access, 2016)

Video Object Segmentation using Supervoxel-Based Gerrymandering. - Brent A. Griffin; Jason J. Corso (CoRR, 2017)

Nonholonomic virtual constraints and gait optimization for robust walking control. - Brent A. Griffin; Jessy W. Grizzle (Int. J. Robotics Res., 2017)

Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models. - Sajan Patel; Brent Griffin; Kristofer Kusano; Jason J. Corso (CoRR, 2018)

A Critical Investigation of Deep Reinforcement Learning for Navigation. - Vikas Dhiman; Shurjo Banerjee; Brent Griffin; Jeffrey Mark Siskind; Jason J. Corso (CoRR, 2018)

Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset. - Abhishek Venkataraman; Brent Griffin; Jason J. Corso (CoRR, 2018)

BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames. - Brent A. Griffin; Jason J. Corso (CVPR, 2019)

Tukey-Inspired Video Object Segmentation. - Brent Griffin; Jason J. Corso (WACV, 2019)

Kinematically-Informed Interactive Perception: Robot-Generated 3D Models for Classification. - Abhishek Venkataraman; Brent Griffin; Jason J. Corso (CoRR, 2019)

Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot Platform. - Brent Griffin; Victoria Florence; Jason J. Corso (CoRR, 2019)

Self-Supervised Robot In-hand Object Learning. - Victoria Florence; Jason J. Corso; Brent Griffin (CoRR, 2019)

Learning Object Depth from Camera Motion and Video Object Segmentation. - Brent A. Griffin; Jason J. Corso (ECCV (7), 2020)

Robot-Supervised Learning for Object Segmentation. - Victoria Florence; Jason J. Corso; Brent Griffin (ICRA, 2020)

Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot. - Brent A. Griffin; Victoria Florence; Jason J. Corso (WACV, 2020)

Depth From Camera Motion and Object Detection. - Brent A. Griffin; Jason J. Corso (CVPR, 2021)

Task-Focused Few-Shot Object Detection for Robot Manipulation. - Brent Griffin (CoRR, 2022)

Mobile Robot Manipulation using Pure Object Detection. - Brent Griffin (WACV, 2023)

Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data. - Brent A. Griffin; Jacob Marks; Jason J. Corso (CoRR, 2024)

Class-wise Autoencoders Measure Classification Difficulty And Detect Label Mistakes. - Jacob Marks; Brent A. Griffin; Jason J. Corso (CoRR, 2024)

Auto-Labeling Data for Object Detection. - Brent A. Griffin; Manushree Gangwar; Jacob Sela; Jason J. Corso (CoRR, 2025)