R. Iris Bahar — accepted AI-conference papers

2025

Robot Planning Under Uncertainty for Object Assembly and Troubleshooting Using Human Causal Models

Semanti Basu, Semir Tatlidil, Moon Hwan Kim, Tiffany Tran, Serena Saxena, Tom Williams +2

ICRA 2025

In this paper we explore if human mental models of objects, even when flawed, can be integrated with a collaborative robot's decision making framework to allow it to make smarter choices under partial observability for different object-related tasks such as assembly and troubleshooting. We demonstra

Cited by 3 Source ↗Scholar ↗

2019

GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments

Xiaotong Chen, Rui Chen, Zhiqiang Sui, Zhefan Ye, Yanqi Liu, R. Iris Bahar +1

IROS 2019poster

Recent advancements have led to a proliferation of machine learning systems used to assist humans in a wide range of tasks. However, we are still far from accurate, reliable, and resource-efficient operations of these systems. For robot perception, convolutional neural networks (CNNs) for object det…

Cited by 38 Source ↗Scholar ↗