Unary Pattern Avoidance in Partial Words Dense with Holes. - Francine Blanchet-Sadri; Kevin Black; Andrew Zemke (LATA, 2011)

Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage. - Kevin Black; Eric K. Ringger; Paul Felt; Kevin D. Seppi; Kristian Heal; Deryle Lonsdale (LREC, 2014)

Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models. - Paul Felt; Kevin Black; Eric K. Ringger; Kevin D. Seppi; Robbie Haertel (HLT-NAACL, 2015)

Pattern Avoidance in Partial Words Dense with Holes. - Kevin Black; Francine Blanchet-Sadri; Ian Coley; Brent Woodhouse; Andrew Zemke (J. Autom. Lang. Comb., 2017)

A Pipeline for Vision-Based On-Orbit Proximity Operations Using Deep Learning and Synthetic Imagery. - Carson Schubert; Kevin Black; Daniel Fonseka; Abhimanyu Dhir; Jacob Deutsch; Nihal Dhamani; Gavin Martin; Maruthi R. Akella (CoRR, 2021)

Real-Time, Flight-Ready, Non-Cooperative Spacecraft Pose Estimation Using Monocular Imagery. - Kevin Black; Shrivu Shankar; Daniel Fonseka; Jacob Deutsch; Abhimanyu Dhir; Maruthi R. Akella (CoRR, 2021)

ViNT: A Foundation Model for Visual Navigation. - Dhruv Shah; Ajay Sridhar; Nitish Dashora; Kyle Stachowicz; Kevin Black; Noriaki Hirose; Sergey Levine (CoRL, 2023)

BridgeData V2: A Dataset for Robot Learning at Scale. - Homer Rich Walke; Kevin Black; Tony Z. Zhao; Quan Vuong; Chongyi Zheng; Philippe Hansen-Estruch; Andre Wang He; Vivek Myers; Moo Jin Kim; Max Du; Abraham Lee; Kuan Fang; et al. (CoRL, 2023)

Granger-Causal Hierarchical Skill Discovery. - Caleb Chuck; Kevin Black; Aditya Arjun; Yuke Zhu; Scott Niekum (CoRR, 2023)

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models. - Kevin Black; Mitsuhiko Nakamoto; Pranav Atreya; Homer Walke; Chelsea Finn; Aviral Kumar; Sergey Levine (CoRR, 2023)

Real-Time Image-Based Relative Pose Estimation and Filtering for Spacecraft Applications. - Siddarth Kaki; Jacob Deutsch; Kevin Black; Asher Cura-Portillo; Brandon A. Jones; Maruthi R. Akella (J. Aerosp. Inf. Syst., 2023)

Training Diffusion Models with Reinforcement Learning. - Kevin Black; Michael Janner; Yilun Du; Ilya Kostrikov; Sergey Levine (ICLR, 2024)

Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models. - Kevin Black; Mitsuhiko Nakamoto; Pranav Atreya; Homer Rich Walke; Chelsea Finn; Aviral Kumar; Sergey Levine (ICLR, 2024)

Feedback Efficient Online Fine-Tuning of Diffusion Models. - Masatoshi Uehara; Yulai Zhao 002; Kevin Black; Ehsan Hajiramezanali; Gabriele Scalia; Nathaniel Lee Diamant; Alex M. Tseng; Sergey Levine; Tommaso Biancalani (ICML, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Learning Action-based Representations Using Invariance. - Max Rudolph; Caleb Chuck; Kevin Black; Misha Lvovsky; Scott Niekum; Amy Zhang 001 (RLJ, 2024)

Octo: An Open-Source Generalist Robot Policy. - Dibya Ghosh; Homer Rich Walke; Karl Pertsch; Kevin Black; Oier Mees; Sudeep Dasari; Joey Hejna; Tobias Kreiman; Charles Xu 003; Jianlan Luo; You Liang Tan; Lawrence Yunliang Chen; et al. (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control. - Masatoshi Uehara; Yulai Zhao 002; Kevin Black; Ehsan Hajiramezanali; Gabriele Scalia; Nathaniel Lee Diamant; Alex M. Tseng; Tommaso Biancalani; Sergey Levine (CoRR, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

Octo: An Open-Source Generalist Robot Policy. - Octo Model Team; Dibya Ghosh; Homer Walke; Karl Pertsch; Kevin Black; Oier Mees; Sudeep Dasari; Joey Hejna; Tobias Kreiman; Charles Xu 003; Jianlan Luo; You Liang Tan; et al. (CoRR, 2024)

π0: A Vision-Language-Action Flow Model for General Robot Control. - Kevin Black; Noah Brown; Danny Driess; Adnan Esmail; Michael Equi; Chelsea Finn; Niccolo Fusai; Lachy Groom; Karol Hausman; Brian Ichter; Szymon Jakubczak; Tim Jones; et al. (CoRR, 2024)

Granger Causal Interaction Skill Chains. - Caleb Chuck; Kevin Black; Aditya Arjun; Yuke Zhu; Scott Niekum (Trans. Mach. Learn. Res., 2024)

π0.5: a Vision-Language-Action Model with Open-World Generalization. - Physical Intelligence; Kevin Black; Noah Brown; James Darpinian; Karan Dhabalia; Danny Driess; Adnan Esmail; Michael Equi; Chelsea Finn; Niccolo Fusai; Manuel Y. Galliker; Dibya Ghosh; et al. (CoRR, 2025)

Real-Time Execution of Action Chunking Flow Policies. - Kevin Black; Manuel Y. Galliker; Sergey Levine (CoRR, 2025)