ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. - Michael Ahn; Henry Zhu; Kristian Hartikainen; Hugo Ponte; Abhishek Gupta 004; Sergey Levine; Vikash Kumar (CoRL, 2019)

Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. - Ofir Nachum; Michael Ahn; Hugo Ponte; Shixiang Shane Gu; Vikash Kumar (CoRL, 2019)

Toward Effective and Sustainable Smart City Model: Case study exploration of varying smart city approaches and outcomes. - Michael Ahn; Yu-Che Chen; Kihaing Cho; Chengyu (Victor) Huang; Younhee Kim; Seung-Hwan Myeong (DG.O, 2020)

Session details: Artificial Intelligence Challenges and Implications for Public Management and Policy. - Michael Ahn; Yu-Che Chen; Albert Meijer 001 (DG.O, 2020)

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning. - Archit Sharma; Michael Ahn; Sergey Levine; Vikash Kumar; Karol Hausman; Shixiang Gu (Robotics: Science and Systems, 2020)

What Matters in Maintaining Effective Open Government Data Systems?: The Role of Government Managerial Capacity, and Political and Legal Environment. - Michael Ahn; Shengli Chu (DG.O, 2021)

Cyber-physical innovations: : Cyber-infrastructure for research, cyber-physical architecture for real-time applications, autonomous vehicle (AV) governance and AI artifacts for public value. - Michael Ahn; Chenyu Huang; Pei-Chi Huang; Xin Zhong; Johannes Himmelreich; Kevin C. Desouza; Richard Knepper (DG.O, 2021)

Global Intelligent Governance - A Collaborative Platform. - Sukumar Ganapati; Michael Ahn; Yu-Che Chen; Robert Krimmer; Gabriela Viale Pereira; Cristian Pliscoff; Hsien-Lee Tseng; Jiannan Wu (DG.O, 2021)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. - Brian Ichter; Anthony Brohan; Yevgen Chebotar; Chelsea Finn; Karol Hausman; Alexander Herzog; Daniel Ho; Julian Ibarz; Alex Irpan; Eric Jang; Ryan Julian; Dmitry Kalashnikov; et al. (CoRL, 2022)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. - Michael Ahn; Anthony Brohan; Noah Brown; Yevgen Chebotar; Omar Cortes; Byron David; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Daniel Ho; Jasmine Hsu; et al. (CoRR, 2022)

Evolution of Cybersecurity Concerns: A Systematic Literature Review. - Sukumar Ganapati; Michael Ahn; Christopher G. Reddick (DG.O, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Jonathan Abelian; Saminda Abeyruwan; Michael Ahn; Alex Bewley; Justin Boyd; Krzysztof Choromanski; Omar Cortes; Erwin Coumans; Tianli Ding; Wenbo Gao; Laura Graesser; et al. (CoRR, 2023)

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)

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. - Michael Ahn; Debidatta Dwibedi; Chelsea Finn; Montse Gonzalez Arenas; Keerthana Gopalakrishnan; Karol Hausman; Brian Ichter; Alex Irpan; Nikhil J. Joshi; Ryan Julian; Sean Kirmani; Isabel Leal; et al. (CoRR, 2024)

VADER: Visual Affordance Detection and Error Recovery for Multi Robot Human Collaboration. - Michael Ahn; Montserrat Gonzalez Arenas; Matthew Bennice; Noah Brown; Christine Chan; Byron David; Anthony G. Francis; Gavin Gonzalez; Rainer Hessmer; Tomas Jackson; Nikhil J. Joshi; Daniel Lam; et al. (CoRR, 2024)