| igibson 2.0: Object-centric simulation for robot learning of everyday household tasks C Li, F Xia, R Martín-Martín, M Lingelbach, S Srivastava, B Shen, K Vainio, ... arXiv preprint arXiv:2108.03272, 2021 | 146 | 2021 |
| Behavior: Benchmark for everyday household activities in virtual, interactive, and ecological environments S Srivastava, C Li, M Lingelbach, R Martín-Martín, F Xia, KE Vainio, Z Lian, ... Conference on Robot Learning, 477-490, 2022 | 104 | 2022 |
| Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation C Li, R Zhang, J Wong, C Gokmen, S Srivastava, R Martín-Martín, C Wang, ... Conference on Robot Learning, 80-93, 2023 | 87 | 2023 |
| A local stochastic algorithm for separation in heterogeneous self-organizing particle systems S Cannon, JJ Daymude, C Gokmen, D Randall, AW Richa arXiv preprint arXiv:1805.04599, 2018 | 16 | 2018 |
| Asking for help: Failure prediction in behavioral cloning through value approximation C Gokmen, D Ho, M Khansari 2023 IEEE International Conference on Robotics and Automation (ICRA), 5821-5828, 2023 | 2 | 2023 |
| Brief announcement: a local stochastic algorithm for separation in heterogeneous self-organizing particle systems S Cannon, JJ Daymude, C Gokmen, D Randall, AW Richa Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing …, 2018 | 1 | 2018 |
| BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation C Li, R Zhang, J Wong, C Gokmen, S Srivastava, R Martín-Martín, C Wang, ... arXiv preprint arXiv:2403.09227, 2024 | | 2024 |
| Eye-BEHAVIOR: An Eye-Tracking Dataset for Everyday Household Activities in Virtual, Interactive, and Ecological Environments C Gokmen, R Zhang, S Srivastava, C Li, M Lingelbach, R Martín-Martín, ... Journal of Vision 22 (14), 3819-3819, 2022 | | 2022 |
| Markov Chain Algorithms for Emergent Phenomena in Self-Organizing Particle Systems C Gokmen Georgia Institute of Technology, 2018 | | 2018 |
Jiajun WuStanford UniversityVerified email at cs.stanford.edu
