Nicholas Waytowich, PhD
Machine Learning Research Scientist \\ Adjunct Professor \\ Brain Computer-Interface Researcher
About Me
My CV is located here.
My Google Scholar page is here
Publications
Auto-updated from Google Scholar
Last updated: October 28, 2025
2025
COA-GPT 2.0: An Agentic AI Planning Tool for Accelerating the Military Decision-Making Process
Vinicius G. Goecks* and Nicholas Waytowich* and Ryan Bookman, and Christian Kenny
Under Review, 2025
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Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding
Mingyang Mao and Mariela M Perez-Cabarcas and Utteja Kallakuri and Nicholas R Waytowich and Xiaomin Lin and Tinoosh Mohsenin
arXiv preprint arXiv:2505.23990, 2025
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CREW-Wildfire: Benchmarking agentic multi-agent collaborations at scale
Jonathan Hyun and Nicholas R Waytowich and Boyuan Chen
arXiv preprint arXiv:2507.05178, 2025
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Rbrl2. 0: Integrated reward and policy learning for rating-based reinforcement learning
Mingkang Wu and Devin White and Vernon Lawhern and Nicholas R Waytowich and Yongcan Cao
arXiv preprint arXiv:2501.07502, 2025
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EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment
Mikolaj Walczak and Romina Aalishah and Wyatt Mackey and Brittany Story and David L Boothe Jr and Nicholas Waytowich and Xiaomin Lin and Tinoosh Mohsenin
arXiv preprint arXiv:2506.03046, 2025
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Performance optimization of ratings-based reinforcement learning
Evelyn Rose and Devin White and Mingkang Wu and Vernon Lawhern and Nicholas R Waytowich and Yongcan Cao
arXiv preprint arXiv:2501.07755, 2025
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R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations
Connor Mattson and Varun Raveendra and Ellen Novoseller and Nicholas Waytowich and Vernon J Lawhern and Daniel S Brown
arXiv preprint arXiv:2510.18085, 2025
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Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation
Indrajeet Ghosh and Kasthuri Jayarajah and Nicholas Waytowich and Nirmalya Roy
Proceedings of the 33rd ACM Conference on User Modeling, 2025
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Multi-Task Reward Learning from Human Ratings
Mingkang Wu and Devin White and Evelyn Rose and Vernon Lawhern and Nicholas R Waytowich and Yongcan Cao
arXiv preprint arXiv:2506.09183, 2025
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Memento: Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation
Indrajeet Ghosh and Kasthuri Jayarajah and Nicholas Waytowich and Nirmalya Roy
arXiv preprint arXiv:2504.19772, 2025
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” New” Challenges for Future C2: Commanding Soldier-Machine Partnerships
Anna Madison and Kaleb McDowell and Vinicius G Goecks and Jeff Hansberger and Ceili M Olney and Claire Ahern and Amar Marathe and Nicholas Waytowich and Christian Kenney and Christopher Kelshaw
arXiv preprint arXiv:2503.08844, 2025
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2024
Coa-gpt: Generative pre-trained transformers for accelerated course of action development in military operations
Vinicius G Goecks and Nicholas Waytowich
2024 International Conference on Military Communication and Information …, 2024
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Rating-based reinforcement learning
Devin White and Mingkang Wu and Ellen Novoseller and Vernon J Lawhern and Nicholas Waytowich and Yongcan Cao
Proceedings of the AAAI Conference on Artificial Intelligence, 2024
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GUIDE: Real-time human-shaped agents
Lingyu Zhang and Zhengran Ji and Nicholas Waytowich and Boyuan Chen
Advances in Neural Information Processing Systems, 2024
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Atari-gpt: Investigating the capabilities of multimodal large language models as low-level policies for atari games
Nicholas R Waytowich and Devin White and MD Sunbeam and Vinicius G Goecks
arXiv e-prints, 2024
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Scalable interactive machine learning for future command and control
Anna Madison and Ellen Novoseller and Vinicius G Goecks and Benjamin T Files and Nicholas Waytowich and Alfred Yu and Vernon J Lawhern and Steven Thurman and Christopher Kelshaw and Kaleb McDowell
2024 International Conference on Military Communication and Information Systems (ICMCIS), 2024
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Atlas: Adaptive landmark acquisition using llm-guided navigation
Utteja Kallakuri and Bharat Prakash and Arnab Neelim Mazumder and Hasib-Al Rashid and Nicholas R Waytowich and Tinoosh Mohsenin
First Vision and Language for Autonomous Driving and Robotics Workshop, 2024
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Adversarial attacks on reinforcement learning agents for command and control
Ahaan Dabholkar and James Z Hare and Mark Mittrick and John Richardson and Nicholas Waytowich and Priya Narayanan and Saurabh Bagchi
The Journal of Defense Modeling and Simulation, 2024
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Atari-GPT: Benchmarking Multimodal Large Language Models as Low-Level Policies in Atari Games
Nicholas R Waytowich and Devin White and MD Sunbeam and Vinicius G Goecks
arXiv preprint arXiv:2408.15950, 2024
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Investigating the mission impact of non-kinetic variables in the operational environment
Mark Mittrick and John Richardson and Vinicius G Goecks and James Zachary Hare and Nicholas Waytowich
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI, 2024
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2023
Disasterresponsegpt: Large language models for accelerated plan of action development in disaster response scenarios
Vinicius G Goecks and Nicholas R Waytowich
arXiv preprint arXiv:2306.17271, 2023
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On games and simulators as a platform for development of artificial intelligence for command and control
Vinicius G Goecks and Nicholas Waytowich and Derrik E Asher and Song Jun Park and Mark Mittrick and John Richardson and Manuel Vindiola and Anne Logie and Mark Dennison and Theron Trout and Priya Narayanan and Alexander Kott
The Journal of Defense Modeling and Simulation, 2023
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Towards solving fuzzy tasks with human feedback: A retrospective of the minerl basalt 2022 competition
Stephanie Milani and Anssi Kanervisto and Karolis Ramanauskas and Sander Schulhoff and Brandon Houghton and Sharada Mohanty and Byron Galbraith and Ke Chen and Yan Song and Tianze Zhou and Bingquan Yu and He Liu and Kai Guan and Yujing Hu and Tangjie Lv and Federico Malato and Florian Leopold and Amogh Raut and Ville Hautamäki and Andrew Melnik and Shu Ishida and João F Henriques and Robert Klassert and Walter Laurito and Ellen Novoseller and Vinicius G Goecks and Nicholas Waytowich and David Watkins and Josh Miller and Rohin Shah
arXiv preprint arXiv:2303.13512, 2023
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Starcraftimage: A dataset for prototyping spatial reasoning methods for multi-agent environments
Sean Kulinski and Nicholas R Waytowich and James Z Hare and David I Inouye
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
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DIP-RL: Demonstration-Inferred Preference Learning in Minecraft
Ellen Novoseller and Vinicius G Goecks and David Watkins and Josh Miller and Nicholas Waytowich
arXiv preprint arXiv:2307.12158, 2023
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Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions⋆
Prashant Ganesh and J Humberto Ramos and Vinicius G Goecks and Jared Paquet and Matthew Longmire and Nicholas R Waytowich and Kevin Brink
IFAC-PapersOnLine, 2023
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2022
An optimization framework for efficient vision-based autonomous drone navigation
Mozhgan Navardi and Aidin Shiri and Edward Humes and Nicholas R Waytowich and Tinoosh Mohsenin
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022
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Toward real-world implementation of deep reinforcement learning for vision-based autonomous drone navigation with mission
Mozhgan Navardi and Prakhar Dixit and Tejaswini Manjunath and Nicholas R Waytowich and Tinoosh Mohsenin and Tim Oates
UMBC Student Collection, 2022
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Retrospective on the 2021 minerl BASALT competition on learning from human feedback
Rohin Shah and Steven H Wang and Cody Wild and Stephanie Milani and Anssi Kanervisto and Vinicius G Goecks and Nicholas Waytowich and David Watkins-Valls and Bharat Prakash and Edmund Mills and Divyansh Garg and Alexander Fries and Alexandra Souly and Jun Shern Chan and Daniel del Castillo and Tom Lieberum
NeurIPS 2021 Competitions and Demonstrations Track, 2022
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Towards fully autonomous negative obstacle traversal via imitation learning based control
Brian César-Tondreau and Garrett Warnell and Kevin Kochersberger and Nicholas R Waytowich
Robotics, 2022
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Mobile manipulation leveraging multiple views
David Watkins-Valls and Peter K Allen and Henrique Maia and Madhavan Seshadri and Jonathan Sanabria and Nicholas Waytowich and Jacob Varley
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
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Efficient language-guided reinforcement learning for resource-constrained autonomous systems
Aidin Shiri and Mozhgan Navardi and Tejaswini Manjunath and Nicholas R Waytowich and Tinoosh Mohsenin
IEEE Micro, 2022
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E2hrl: An energy-efficient hardware accelerator for hierarchical deep reinforcement learning
Aidin Shiri and Uttej Kallakuri and Hasib-Al Rashid and Bharat Prakash and Nicholas R Waytowich and Tim Oates and Tinoosh Mohsenin
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2022
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Utility of doctrine with multi-agent RL for military engagements
Anjon Basak and Erin G Zaroukian and Kevin Corder and Rolando Fernandez and Christopher D Hsu and Piyush K Sharma and Nicholas R Waytowich and Derrik E Asher
Artificial intelligence and machine learning for multi-domain operations applications IV, 2022
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Towards an interpretable hierarchical agent framework using semantic goals
Bharat Prakash and Nicholas Waytowich and Tim Oates and Tinoosh Mohsenin
arXiv preprint arXiv:2210.08412, 2022
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Permtl: A multi-task learning framework for skilled human performance assessment
Indrajeet Ghosh and Avijoy Chakma and Sreenivasan Ramasamy Ramamurthy and Nirmalya Roy and Nicholas Waytowich
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
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Retrospective on the 2021 BASALT competition on learning from human feedback
Rohin Shah and Steven H Wang and Cody Wild and Stephanie Milani and Anssi Kanervisto and Vinicius G Goecks and Nicholas Waytowich and David Watkins-Valls and Bharat Prakash and Edmund Mills and Divyansh Garg and Alexander Fries and Alexandra Souly and Chan Jun Shern and Daniel del Castillo and Tom Lieberum
arXiv preprint arXiv:2204.07123, 2022
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Learning to guide multiple heterogeneous actors from a single human demonstration via automatic curriculum learning in StarCraft II
Nicholas Waytowich and James Hare and Vinicius G Goecks and Mark Mittrick and John Richardson and Anjon Basak and Derrik E Asher
Artificial intelligence and machine learning for multi-domain operations applications IV, 2022
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Hierarchical Agents by Combining Language Generation and Semantic Goal Directed RL
Bharat Prakash and Nicholas R Waytowich and Tim Oates and Tinoosh Mohsenin
Second Workshop on Language and Reinforcement Learning, 2022
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Multiple View Performers for Shape Completion
David Watkins and Peter Allen and Krzysztof Choromanski and Jacob Varley and Nicholas Waytowich
arXiv preprint arXiv:2209.06291, 2022
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A flexible software-hardware framework for brain eeg multiple artifact identification
Mohit Khatwani and Hasib-Al Rashid and Hirenkumar Paneliya and Mark Horton and Houman Homayoun and Nicholas Waytowich and W David Hairston and Tinoosh Mohsenin
Handbook of Biochips: Integrated Circuits and Systems for Biology and …, 2022
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TagTeam Towards wearable-assisted, implicit guidance for human-drone teams
Kasthuri Jayarajah and Aryya Gangopadhyay and Nicholas Waytowich
Proceedings of the 1st ACM Workshop on Smart Wearable Systems and …, 2022
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E2HRL: An Energy-Eficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning
Nicholas R Waytowich and Tim Oates and Tinoosh Mohsenin
2022
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2021
A flexible multichannel EEG artifact identification processor using depthwise-separable convolutional neural networks
Mohit Khatwani and Hasib-Al Rashid and Hirenkumar Paneliya and Mark Horton and Nicholas Waytowich and W David Hairston and Tinoosh Mohsenin
ACM Journal on Emerging Technologies in Computing Systems (JETC), 2021
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Improving autonomous robotic navigation using imitation learning
Brian Cèsar-Tondreau and Garrett Warnell and Ethan Stump and Kevin Kochersberger and Nicholas R Waytowich
Frontiers in Robotics and AI, 2021
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An energy efficient edgeai autoencoder accelerator for reinforcement learning
Nitheesh Kumar Manjunath and Aidin Shiri and Morteza Hosseini and Bharat Prakash and Nicholas R Waytowich and Tinoosh Mohsenin
IEEE Open Journal of Circuits and Systems, 2021
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Human-autonomy teaming for the tactical edge: The importance of humans in artificial intelligence research and development
Kristin E Schaefer and Brandon Perelman and Joe Rexwinkle and Jonroy Canady and Catherine Neubauer and Nicholas Waytowich and Gabriella Larkin and Katherine Cox and Michael Geuss and Gregory Gremillion and Jason S Metcalfe and Arwen DeCostanza and Amar Marathe
Systems engineering and artificial intelligence, 2021
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Combining learning from human feedback and knowledge engineering to solve hierarchical tasks in minecraft
Vinicius G Goecks and Nicholas Waytowich and David Watkins-Valls and Bharat Prakash
arXiv preprint arXiv:2112.03482, 2021
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Interactive hierarchical guidance using language
Bharat Prakash and Nicholas Waytowich and Tim Oates and Tinoosh Mohsenin
arXiv preprint arXiv:2110.04649, 2021
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A hardware accelerator for language-guided reinforcement learning
Aidin Shiri and Arnab Neelim Mazumder and Bharat Prakash and Houman Homayoun and Nicholas R Waytowich and Tinoosh Mohsenin
IEEE Design & Test, 2021
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An energy-efficient hardware accelerator for hierarchical deep reinforcement learning
Aidin Shiri and Bharat Prakash and Arnab Neelim Mazumder and Nicholas R Waytowich and Tim Oates and Tinoosh Mohsenin
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021
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Imitation learning with human eye gaze via multi-objective prediction
Ravi Kumar Thakur and MD Sunbeam and Vinicius G Goecks and Ellen Novoseller and Ritwik Bera and Vernon J Lawhern and Gregory M Gremillion and John Valasek and Nicholas R Waytowich
arXiv preprint arXiv:2102.13008, 2021
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Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations
Ritwik Bera and Vinicius G Goecks and Gregory M Gremillion and Vernon J Lawhern and John Valasek and Nicholas R Waytowich
arXiv preprint arXiv:2102.13008, 2021
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Automatic goal generation using dynamical distance learning
Bharat Prakash and Nicholas Waytowich and Tinoosh Mohsenin and Tim Oates
arXiv preprint arXiv:2111.04120, 2021
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2020
Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints.
Bharat Prakash and Nicholas R Waytowich and Ashwinkumar Ganesan and Tim Oates and Tinoosh Mohsenin
SafeAI@ AAAI, 2020
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Learning your way without map or compass: Panoramic target driven visual navigation
David Watkins-Valls and Jingxi Xu and Nicholas Waytowich and Peter Allen
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
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Energy-efficient hardware for language guided reinforcement learning
Aidin Shiri and Arnab Neelim Mazumder and Bharat Prakash and Nitheesh Kumar Manjunath and Houman Homayoun and Avesta Sasan and Nicholas R Waytowich and Tinoosh Mohsenin
Proceedings of the 2020 on Great Lakes Symposium on VLSI, 2020
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The autoregressive linear mixture model: A time-series model for an instantaneous mixture of network processes
Addison W Bohannon and Vernon J Lawhern and Nicholas R Waytowich and Radu V Balan
IEEE Transactions on Signal Processing, 2020
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Yesterday’s reward is today’s punishment: Contrast effects in human feedback to reinforcement learning agents
Divya Ramesh and Anthony Z Liu and Andres J Echeverria and Jean Y Song and Nicholas R Waytowich and Walter S Lasecki
Proceedings of the 19th international conference on autonomous agents and …, 2020
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2019
Integrating behavior cloning and reinforcement learning for improved performance in dense and sparse reward environments
Vinicius G Goecks and Gregory M Gremillion and Vernon J Lawhern and John Valasek and Nicholas R Waytowich
arXiv preprint arXiv:1910.04281, 2019
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Efficiently combining human demonstrations and interventions for safe training of autonomous systems in real-time
Vinicius G Goecks and Gregory M Gremillion and Vernon J Lawhern and John Valasek and Nicholas R Waytowich
Proceedings of the AAAI conference on artificial intelligence, 2019
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Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention.
Bharat Prakash and Mohit Khatwani and Nicholas R Waytowich and Tinoosh Mohsenin
FLAIRS, 2019
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On the use of deep autoencoders for efficient embedded reinforcement learning
Bharat Prakash and Mark Horton and Nicholas R Waytowich and William David Hairston and Tim Oates and Tinoosh Mohsenin
Proceedings of the 2019 Great Lakes Symposium on VLSI, 2019
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A narration-based reward shaping approach using grounded natural language commands
Nicholas Waytowich and Sean L Barton and Vernon Lawhern and Garrett Warnell
arXiv preprint arXiv:1911.00497, 2019
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Grounding natural language commands to StarCraft II game states for narration-guided reinforcement learning
Nicholas Waytowich and Sean L Barton and Vernon Lawhern and Ethan Stump and Garrett Warnell
Artificial intelligence and machine learning for multi-domain operations applications, 2019
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Multi-agent coordination profiles through state space perturbations
Derrik Asher and Michael Garber-Barron and Sebastian Rodriguez and Erin Zaroukian and Nicholas Waytowich
2019 international conference on computational science and computational intelligence (CSCI), 2019
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A low complexity automated multi-channel EEG artifact detection using EEGNet
Mohit Khatwani and W David Hairston and Nicholas Waytowich and Tinoosh Mohsenin
2019 IEEE EMBS Conference on Neural Engineering, 2019
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Algorithmically identifying strategies in multi-agent game-theoretic environments
Erin Zaroukian and Sebastian S Rodriguez and Sean L Barton and James A Schaffer and Brandon Perelman and Nicholas R Waytowich and Blaine Hoffman and Derrik E Asher
Artificial intelligence and machine learning for multi-domain operations applications, 2019
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Effect of cooperative team size on coordination in adaptive multi-agent systems
DE Asher and SL Barton and E Zaroukian and NR Waytowich
Artificial intelligence and machine learning for multi-domain operations applications, 2019
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Evaluating the coordination of agents in multi-agent reinforcement learning
Sean L Barton and Erin Zaroukian and Derrik E Asher and Nicholas R Waytowich
International Conference on Intelligent Human Systems Integration, 2019
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Inferring and learning multi-robot policies by observing an expert
Pietro Pierpaoli and Harish Ravichandar and Nicholas Waytowich and Anqi Li and Derrik Asher and Magnus Egerstedt
arXiv preprint arXiv:1909.07887, 2019
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Podnet: A neural network for discovery of plannable options
Ritwik Bera and Vinicius G Goecks and Gregory M Gremillion and John Valasek and Nicholas R Waytowich
arXiv preprint arXiv:1911.00171, 2019
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Investigating evoked EEG responses to targets presented in virtual reality
Pawan Lapborisuth and Josef Faller and Jonathan Koss and Nicholas R Waytowich and Jonathan Touryan and Paul Sajda
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
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Learning behaviors from a single video demonstration using human feedback
Sunil Gandhi and Tim Oates and Tinoosh Mohsenin and Nicholas R Waytowich
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
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On memory mechanism in multi-agent reinforcement learning
Yilun Zhou and Derrik E Asher and Nicholas R Waytowich and Julie A Shah
arXiv preprint arXiv:1909.05232, 2019
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Learning from observations using a single video demonstration and human feedback
Sunil Gandhi and Tim Oates and Tinoosh Mohsenin and Nicholas Waytowich
arXiv preprint arXiv:1909.13392, 2019
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2018
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
Vernon J Lawhern and Amelia J Solon and Nicholas R Waytowich and Stephen M Gordon and Chou P Hung and Brent J Lance
Journal of neural engineering, 2018
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Deep tamer: Interactive agent shaping in high-dimensional state spaces
Garrett Warnell and Nicholas Waytowich and Vernon Lawhern and Peter Stone
Proceedings of the AAAI conference on artificial intelligence, 2018
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Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials
Nicholas Waytowich and Vernon J Lawhern and Javier O Garcia and Jennifer Cummings and Josef Faller and Paul Sajda and Jean M Vettel
Journal of neural engineering, 2018
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Energy efficient convolutional neural networks for eeg artifact detection
Mohit Khatwani and Morteza Hosseini and Hirenkumar Paneliya and Tinoosh Mohsenin and W David Hairston and Nicholas Waytowich
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2018
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Measuring collaborative emergent behavior in multi-agent reinforcement learning
Sean L Barton and Nicholas R Waytowich and Erin Zaroukian and Derrik E Asher
International conference on human systems engineering and design: future …, 2018
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Cycle-of-learning for autonomous systems from human interaction
Nicholas R Waytowich and Vinicius G Goecks and Vernon J Lawhern
arXiv preprint arXiv:1808.09572, 2018
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Coordination-driven learning in multi-agent problem spaces
Sean L Barton and Nicholas R Waytowich and Derrik E Asher
arXiv preprint arXiv:1809.04918, 2018
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Brain–Computer Interfaces for Mediating Interaction in Virtual and Augmented Reality
Josef Faller and Neil Weiss and Nicholas Waytowich and Paul Sajda
Brain–Computer Interfaces Handbook, 2018
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EEGNet: a compact convolutional neural network
Vernon J Lawhern and Amelia J Solon and Nicholas R Waytowich and Stephen M Gordon and Chou P Hung and Brent J Lance
EEGNet A Compact Convolutional Neural Netw 2018, 2018
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Measuring Collaborative Emergent Behavior in Multi-agent Reinforcement Learning
Nicholas R Waytowich and Erin Zaroukian¹
Human Systems Engineering and Design: Proceedings of the 1st International Conference on Human Systems Engineering and Design (IHSED2018): Future Trends and Applications, October 25-27, 2018, CHU-Université de Reims Champagne-Ardenne, France, 2018
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2017
Development of an extensible SSVEP-BCI software platform and application to wheelchair control
Nicholas R Waytowich and Dean J Krusienski
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 2017
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2016
Discriminative feature extraction via multivariate linear regression for SSVEP-based BCI
Haiqiang Wang and Yu Zhang and Nicholas R Waytowich and Dean J Krusienski and Guoxu Zhou and Jing Jin and Xingyu Wang and Andrzej Cichocki
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016
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Spectral transfer learning using information geometry for a user-independent brain-computer interface
Nicholas R Waytowich and Vernon J Lawhern and Addison W Bohannon and Kenneth R Ball and Brent J Lance
Frontiers in neuroscience, 2016
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Unsupervised adaptive transfer learning for steady-state visual evoked potential brain-computer interfaces
Nicholas R Waytowich and Josef Faller and Javier O Garcia and Jean M Vettel and Paul Sajda
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016
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Optimization of checkerboard spatial frequencies for steady-state visual evoked potential brain–computer interfaces
Nicholas R Waytowich and Yusuke Yamani and Dean J Krusienski
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016
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Cortically coupled computing: A new paradigm for synergistic human-machine interaction
Sameer Saproo and Josef Faller and Victor Shih and Paul Sajda and Nicholas R Waytowich and Addison Bohannon and Vernon J Lawhern and Brent J Lance and David Jangraw
Computer, 2016
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Multiclass steady-state visual evoked potential frequency evaluation using chirp-modulated stimuli
Nicholas R Waytowich and Dean J Krusienski
IEEE Transactions on Human-Machine Systems, 2016
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Collaborative image triage with humans and computer vision
Addison W Bohannon and Nicholas R Waytowich and Vernon J Lawhern and Brian M Sadler and Brent J Lance
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016
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2015
Eco-friendly management of chilli anthracnose (Colletotrichum capsici).
MM Rashid and MH Kabir and MM Hossain and MR Bhuiyan and MA Iqbal Khan
2015
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Spatial decoupling of targets and flashing stimuli for visual brain–computer interfaces
Nicholas Waytowich and Dean Krusienski
Journal of Neural Engineering, 2015
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Development of a practical visual-evoked potential-based brain-computer interface
Nicholas R Waytowich
Old Dominion University, 2015
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2014
Novel Characterization of the Steady-State Visual Evoked Potential Spectrum of EEG
Nicholas Waytowich and Dean Krusienski
BrainKDD: International Workshop on Data Mining for Brain Science, 2014
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2011
The challenges of using scalp-EEG input signals for continuous device control
Garett Johnson and Nicholas Waytowich and Dean J Krusienski
International Conference on Foundations of Augmented Cognition, 2011
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2010
Robot application of a brain computer interface to staubli tx40 robots-early stages
Nicholas Waytowich and Andrew Henderson and Dean Krusienski and Daniel Cox
2010 World Automation Congress, 2010
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Extending the discrete selection capabilities of the P300 speller to goal-oriented robotic arm control
Garett D Johnson and Nicholas R Waytowich and Daniel J Cox and Dean J Krusienski
2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, 2010
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Assistive Robotic Applications of a Staubli Manipulator for Use with the BCI 2000
Nick Waytowich and Ganna Kudrey and Daniel Cox
Proceedings 23rd Florida Conference on Recent Advances in Robotics (FCRAR 2010), 2010
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Review on EEG-BCI classification techniques advancements
Vernon J Lawhern and Amelia J Solon and Nicholas R Waytowich
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BLUE RAY ROV
Blue Ray Team and Nick Waytowich and Keith Stilson and Shane Kennett
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