The Ingredients of Real World Robotic Reinforcement Learning. - Henry Zhu; Justin Yu; Abhishek Gupta 004; Dhruv Shah; Kristian Hartikainen; Avi Singh; Vikash Kumar; Sergey Levine (ICLR, 2020)

Investigating the biological impacts of radio transmissions: poster abstract. - Murtadha Aldeer; Joseph Florentine; Justin Yu; Liam Ryan; Zhenzhou Qi; Jakub Kolodziejski; Mike Haberland; Richard E. Howard; Richard P. Martin (SenSys, 2020)

Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events. - Tzu-Yuan Lin; Ray Zhang 001; Justin Yu; Maani Ghaffari (CoRL, 2021)

Poster: Maestro - An Ambient Sensing Platform With Active Learning To Enable Smart Applications. - Tahiya Chowdhury; Murtadha Aldeer; Shantanu Laghate; Justin Yu; Qizhen Ding; Joseph Florentine; Jorge Ortiz 001 (EWSN, 2021)

MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. - Kevin Li; Abhishek Gupta 004; Ashwin Reddy; Vitchyr H. Pong; Aurick Zhou; Justin Yu; Sergey Levine (ICML, 2021)

Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. - Abhishek Gupta 004; Justin Yu; Tony Z. Zhao; Vikash Kumar; Aaron Rovinsky; Kelvin Xu; Thomas Devlin; Sergey Levine (ICRA, 2021)

A smart agent guided contactless data collection system amid a pandemic. - Murtadha Aldeer; Justin Yu; Tahiya Chowdhury; Joseph Florentine; Jakub Kolodziejski; Richard E. Howard; Richard P. Martin; Jorge Ortiz 001 (MobiSys, 2021)

Deep Multi-Modal Contact Estimation for Invariant Observer Design on Quadruped Robots. - Tzu-Yuan Lin; Ray Zhang 001; Justin Yu; Maani Ghaffari (CoRR, 2021)

Poster Abstract: A Testbed for Context Representation in Physical Spaces. - Murtadha Aldeer; Yuan Sun; Nandana Pai; Joseph Florentine; Justin Yu; Jorge Ortiz 001 (IPSN, 2023)

Effectively Rearranging Heterogeneous Objects on Cluttered Tabletops. - Kai Gao; Justin Yu; Tanay Sandeep Punjabi; Jingjin Yu (IROS, 2023)

Leveraging Timestamps to Create Secure and Feeless Evidence Management. - Iifan Tyou; Shigenori Ohashi; Justin Yu; Takayuki Miura; Takuro Hosoi; Kanta Matsuura (Blockchain, 2024)

SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks. - Abhishek Singh 005; Vivek Sharma 001; Rohan Sukumaran; John Mose; Jeffrey Chiu; Justin Yu; Ramesh Raskar (ECCV (76), 2024)

Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. - Alireza Ghaffari; Justin Yu; Mahsa Ghazvini Nejad; Masoud Asgharian; Boxing Chen; Vahid Partovi Nia (ICPRAM, 2024)

Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot. - Justin Yu; Kush Hari; Kishore Srinivas; Karim El-Refai; Adam Rashid; Chung Min Kim; Justin Kerr; Richard Cheng; Muhammad Zubair Irshad; Ashwin Balakrishna; Thomas Kollar; Ken Goldberg (IROS, 2024)

MANIP: A Modular Architecture for Integrating Interactive Perception for Robot Manipulation. - Justin Yu; Tara Sadjadpour; Abby O'Neill; Mehdi Khfifi; Lawrence Yunliang Chen; Richard Cheng; Muhammad Zubair Irshad; Ashwin Balakrishna; Thomas Kollar; Ken Goldberg (IROS, 2024)

Persistent Object Gaussian Splat (POGS) for Tracking Human and Robot Manipulation of Irregularly Shaped Objects. - Justin Yu; Kush Hari; Karim El-Refai; Arnav Dalal; Justin Kerr; Chung Min Kim; Richard Cheng; Muhammad Zubair Irshad; Ken Goldberg (CoRR, 2025)

Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware. - Justin Yu; Letian Fu; Huang Huang; Karim El-Refai; Rares Andrei Ambrus; Richard Cheng; Muhammad Zubair Irshad; Ken Goldberg (CoRR, 2025)