Work

HILO: A Large-Scale Heterogeneous Object Dataset for Benchmarking Robotic Grasping Approaches

Year: 2025

Type: conference-paper

Source: International Conference on Automation, Robotics and Applications

DOI: 10.1109/icara64554.2025.10977572

Authors: Xinchao Song, Sean Banerjee, Natasha Kholgade Banerjee

Institutions: Clarkson University, Wright State University

Language: English

Topic: Robot Manipulation and Learning

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: NRI: FND: Using Multi-Modal Data to Make Robotic Grasp Algorithms Aware of Human Preferences for Safe Collaborative Robot-Human Handover Interactions with Novel Objects

OpenAlex ID: W4410087667

FWCI: 2.286

Cites: 30

Cited by: 1

Related to: 10