BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

no code implementations • 14 Mar 2024 • Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered robotics.

NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities

no code implementations • 2 Nov 2023 • Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu

We present Neural Signal Operated Intelligent Robots (NOIR), a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals.

EEG

Primitive Skill-based Robot Learning from Human Evaluative Feedback

no code implementations • 28 Jul 2023 • Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang

By combining them, SEED reduces the human effort required in RLHF and increases safety in training robot manipulation with RL in real-world settings.

reinforcement-learning Reinforcement Learning (RL) +1

Task-Driven Graph Attention for Hierarchical Relational Object Navigation

no code implementations • 23 Jun 2023 • Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

Embodied AI agents in large scenes often need to navigate to find objects.

Graph Attention Navigate +1

Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset

1 code implementation • 19 Sep 2022 • Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Jiamu Zhang, Christopher Chou, Trevor Darrell, Alexandre Bayen

Decentralized multiagent planning has been an important field of research in robotics.

Common Sense Reasoning Navigate

Text Analytics for Resilience-Enabled Extreme Events Reconnaissance

no code implementations • 26 Nov 2020 • Alicia Y. Tsai, Selim Gunay, Minjune Hwang, Pengyuan Zhai, Chenglong Li, Laurent El Ghaoui, Khalid M. Mosalam

Post-hazard reconnaissance for natural disasters (e. g., earthquakes) is important for understanding the performance of the built environment, speeding up the recovery, enhancing resilience and making informed decisions related to current and future hazards.

Minority Reports Defense: Defending Against Adversarial Patches

no code implementations • 28 Apr 2020 • Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David Wagner

We propose a defense against patch attacks based on partially occluding the image around each candidate patch location, so that a few occlusions each completely hide the patch.

Adversarial Attack General Classification +1