Driggs-Campbell, Katherine Rose

10 publications

CoRL 2025 Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use Haonan Chen, Cheng Zhu, Shuijing Liu, Yunzhu Li, Katherine Rose Driggs-Campbell

CoRL 2024 D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement Yixuan Wang, Mingtong Zhang, Zhuoran Li, Tarik Kelestemur, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li

TMLR 2024 Towards Provable Log Density Policy Gradient Pulkit Katdare, Anant A Joshi, Katherine Rose Driggs-Campbell

CoRL 2023 A Data-Efficient Visual-Audio Representation with Intuitive Fine-Tuning for Voice-Controlled Robots Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell

NeurIPSW 2023 D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li

CoRL 2023 Marginalized Importance Sampling for Off-Environment Policy Evaluation Pulkit Katdare, Nan Jiang, Katherine Rose Driggs-Campbell

CoRL 2023 Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell

ICLRW 2022 Gauge Equivariant Deep Q-Learning on Discrete Manifolds Sourya Basu, Pulkit Katdare, Katherine Rose Driggs-Campbell, Lav R. Varshney

NeurIPSW 2022 To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles Yuan Shen, Shanduojiao Jiang, Yanlin Chen, Katherine Rose Driggs-Campbell

IJCAI 2019 Monte Carlo Tree Search for Policy Optimization Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer