Selectively guiding visual concept discovery. - Maggie B. Wigness; Bruce A. Draper; J. Ross Beveridge (WACV, 2014)

Efficient label collection for unlabeled image datasets. - Maggie B. Wigness; Bruce A. Draper; J. Ross Beveridge (CVPR, 2015)

Reducing adaptation latency for multi-concept visual perception in outdoor environments. - Maggie B. Wigness; John G. Rogers; Luis Ernesto Navarro-Serment; Arne Suppé; Bruce A. Draper (IROS, 2016)

Unsupervised Semantic Scene Labeling for Streaming Data. - Maggie B. Wigness; John G. Rogers III (CVPR, 2017)

On the Impacts of Noise from Group-Based Label Collection for Visual Classification. - Maggie B. Wigness; Steven Gutstein (ICMLA, 2017)

Robot Navigation from Human Demonstration: Learning Control Behaviors. - Maggie B. Wigness; John G. Rogers; Luis E. Navarro-Serment (ICRA, 2018)

Efficient Label Collection for Image Datasets via Hierarchical Clustering. - Maggie B. Wigness; Bruce A. Draper; J. Ross Beveridge (Int. J. Comput. Vis., 2018)

A RUGD Dataset for Autonomous Navigation and Visual Perception in Unstructured Outdoor Environments. - Maggie B. Wigness; Sungmin Eum; John G. Rogers; David K. Han; Heesung Kwon (IROS, 2019)

Hao Zhang: Robot Adaptation to Unstructured Terrains by Joint Representation and Apprenticeship Learning. - Sriram Siva; Maggie B. Wigness; John G. Rogers (Robotics: Science and Systems, 2019)

On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. - Benjamin M. Marlin; Tarek F. Abdelzaher; Gabriela F. Ciocarlie; Adam D. Cobb; Mark Dennison; Brian Jalaian; Lance M. Kaplan; Tiffany Raber; Adrienne Raglin; Piyush K. Sharma; Mani B. Srivastava; Theron Trout; et al. (CogMI, 2020)

Enhancing Consistent Ground Maneuverability by Robot Adaptation to Complex Off-Road Terrains. - Sriram Siva; Maggie B. Wigness; John G. Rogers; Hao Zhang 011 (CoRL, 2021)

RELLIS-3D Dataset: Data, Benchmarks and Analysis. - Peng Jiang; Philip R. Osteen; Maggie B. Wigness; Srikanth Saripalli (ICRA, 2021)

Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration. - Christian Ellis; Maggie B. Wigness; John G. Rogers; Craig Lennon; Lance Fiondella (IROS, 2021)

Optimizing Intelligent Edge-clouds with Partitioning, Compression and Speculative Inference. - Shiwei Fang; Jin Huang; Colin Samplawski; Deepak Ganesan; Benjamin M. Marlin; Tarek F. Abdelzaher; Maggie B. Wigness (MILCOM, 2021)

On Exploring Image Resizing for Optimizing Criticality-based Machine Perception. - Yigong Hu; Shengzhong Liu; Tarek F. Abdelzaher; Maggie B. Wigness; Philip David (RTCSA, 2021)

Robot Adaptation for Generating Consistent Navigational Behaviors over Unstructured Off-Road Terrain. - Sriram Siva; Maggie B. Wigness; John G. Rogers; Hao Zhang 011 (CoRR, 2021)

Using perception cues for context-aware navigation in dynamic outdoor environments. - Maggie B. Wigness; John G. Rogers; Chieh-En Tsai; Christoph Mertz; Luis E. Navarro-Serment; Jean Oh (Field Robotics, 2021)

A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle. - Christian Ellis; Maggie B. Wigness; Lance Fiondella (ICAA, 2022)

Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency. - Shengzhong Liu; Tianshi Wang; Hongpeng Guo; Xinzhe Fu; Philip David; Maggie B. Wigness; Archan Misra; Tarek F. Abdelzaher (ICDCS, 2022)

NAUTS: Negotiation for Adaptation to Unstructured Terrain Surfaces. - Sriram Siva; Maggie B. Wigness; John G. Rogers; Long Quang; Hao Zhang 011 (IROS, 2022)

Comparing Performance of Group Communications Protocols Over SCB versus Routed MANET Networks. - Niranjan Suri; Maggie B. Wigness; Lorenzo Campioni; Jan Nilsson; Eelco Cramer; Roberto Fronteddu; Mauro Tortonesi (MILCOM, 2022)

DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows. - Ragini Gupta; Bo Chen 025; Shengzhong Liu; Tianshi Wang; Sandeep Singh Sandha; Abel Souza; Klara Nahrstedt; Tarek F. Abdelzaher; Mani B. Srivastava; Prashant J. Shenoy; Jeffrey Smith; Maggie B. Wigness; et al. (ApPLIED@PODC, 2022)

Self-Cueing Real-Time Attention Scheduling in Criticality-Aware Visual Machine Perception. - Shengzhong Liu; Xinzhe Fu; Maggie B. Wigness; Philip David; Shuochao Yao; Lui Sha; Tarek F. Abdelzaher (RTAS, 2022)

Robot navigation from human demonstration: learning control behaviors with environment feature maps. - Maggie B. Wigness; John G. Rogers III; Luis E. Navarro-Serment (CoRR, 2022)

Real-time task scheduling with image resizing for criticality-based machine perception. - Yigong Hu; Shengzhong Liu; Tarek F. Abdelzaher; Maggie B. Wigness; Philip David (Real Time Syst., 2022)

An Intelligence Architecture for Grounded Language Communication with Field Robots. - Thomas M. Howard; Ethan Stump; Jonathan Fink; Jacob Arkin; Rohan Paul; Daehyung Park; Subhro Roy; Daniel Barber; Rhyse Bendell; Karl Schmeckpeper; Junjiao Tian; Jean Oh; et al. (Field Robotics, 2022)

IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research. - Benjamin M. Marlin; Niranjan Suri; Shiwei Fang; Mani B. Srivastava; Colin Samplawski; Ziqi Wang 001; Maggie B. Wigness (MILCOM, 2023)

Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing. - Shengzhong Liu; Xinzhe Fu; Yigong Hu; Maggie B. Wigness; Philip David; Shuochao Yao; Lui Sha; Tarek F. Abdelzaher (Real Time Syst., 2023)

The Case for Micro Foundation Models to Support Robust Edge Intelligence. - Tomoyoshi Kimura; Ashitabh Misra; Yizhuo Chen; Denizhan Kara; Jinyang Li 004; Tianshi Wang; Ruijie Wang 004; Joydeep Bhattacharyya; Jae Kim; Prashant J. Shenoy; Mani Srivastava 001; Maggie B. Wigness; et al. (CogMI, 2024)

Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration. - Jinyang Li 004; Yizhuo Chen; Tomoyoshi Kimura; Tianshi Wang; Ruijie Wang 004; Denizhan Kara; Yigong Hu; Li Wu; Walid A. Hanafy; Abel Souza; Prashant J. Shenoy; Maggie B. Wigness; et al. (ICCCN, 2024)

RIDER: Reinforcement-Based Inferred Dynamics via Emulating Rehearsals for Robot Navigation in Unstructured Environments. - Sriram Siva; Maggie B. Wigness (ICRA, 2024)

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study. - Tomoyoshi Kimura; Jinyang Li 004; Tianshi Wang; Denizhan Kara; Yizhuo Chen; Yigong Hu; Ruijie Wang 004; Maggie B. Wigness; Shengzhong Liu; Mani Srivastava 001; Suhas N. Diggavi; Tarek F. Abdelzaher (CoRR, 2024)

M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions. - Aniket Datar; Anuj Pokhrel; Mohammad Nazeri; Madhan B. Rao; Chenhui Pan; Yufan Zhang; Andre Harrison; Maggie B. Wigness; Philip R. Osteen; Jinwei Ye; Xuesu Xiao (CoRR, 2024)

Self-reflective terrain-aware robot adaptation for consistent off-road ground navigation. - Sriram Siva; Maggie B. Wigness; John G. Rogers; Long Quang; Hao Zhang 011 (Int. J. Robotics Res., 2024)

GO: The Great Outdoors Multimodal Dataset. - Peng Jiang; Kasi Viswanath; Akhil Nagariya; George Chustz; Maggie B. Wigness; Philip R. Osteen; Timothy Overbye; Christian Ellis; Long Quang; Srikanth Saripalli (CoRR, 2025)

The bottlenecks of AI: challenges for embedded and real-time research in a data-centric age. - Tarek F. Abdelzaher; Yigong Hu; Denizhan Kara; Tomoyoshi Kimura; Ashitabh Misra; Vishakha Ramani; Olivier Tardieu; Tianshi Wang; Maggie B. Wigness; Alaa Youssef (Real Time Syst., 2025)

Temporally Consistent Unsupervised Segmentation for Mobile Robot Perception. - Christian Ellis; Maggie B. Wigness; Craig Lennon; Lance Fiondella (CoRR, 2025)