Yip, Michael C.

7 publications

CoRL 2025 From Space to Time: Enabling Adaptive Safety with Learned Value Functions via Disturbance Recasting Sander Tonkens, Nikhil Uday Shinde, Azra Begzadić, Michael C. Yip, Jorge Cortes, Sylvia Lee Herbert

CVPRW 2024 BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives Sainan Liu, Shan Lin, Jingpei Lu, Alexey Supikov, Michael C. Yip

CVPR 2023 Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer Jingpei Lu, Florian Richter, Michael C. Yip

CVPR 2022 Image Based Reconstruction of Liquids from 2D Surface Detections Florian Richter, Ryan K. Orosco, Michael C. Yip

ICLR 2020 Composing Task-Agnostic Policies with Deep Reinforcement Learning Ahmed H. Qureshi, Jacob J. Johnson, Yuzhe Qin, Taylor Henderson, Byron Boots, Michael C. Yip

ICLR 2019 Adversarial Imitation via Variational Inverse Reinforcement Learning Ahmed H. Qureshi, Byron Boots, Michael C. Yip

CoRL 2017 Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection Nikhil Das, Naman Gupta, Michael C. Yip